All-in-one Bundle

Data Science

Lifetime Unlimited Access to 400+ world-class Data Science, ML, Ai courses, hands-on projects, job-ready certificate programs and learning paths, tests and quizzes, unlimited certificates, future and upcoming courses — all included.

₹24900
₹12449

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EDUCBA Advantages

All-in-one Data Science Course Bundle is a comprehensive package that includes all prominent and essential Data Science courses in one place in diverse fields of – Data science, ML, Ai, Deep Learning, Predictive Modelling, R, Python, Power BI, Tableau, SPSS, Minitab, SAS, and much more. This course will provide the practical knowledge and skills needed to perform Data Analytics in the real world.

Learn anything

Choose any topic, and advance your skills

Save money

Take multiple courses from diverse fields at no additional cost

Flexible learning

Learn at your own pace, move between multiple courses, or switch to a different course

Unlimited certificates

Earn a certificate for every learning program that you complete at no additional cost

What you’ll get

Lifetime Unlimited Access to 400+ world-class Data Science, ML, Ai courses, hands-on projects, job-ready certificate programs and learning paths, tests and quizzes

All current and future access to courses and learning paths

15,00+ hours of upskilling content

Unlimited certificates

Data Science tools and technologies

Trending and latest technologies covered

New content added every month

100% online & self-paced curation

Lifetime of support at your convenience

Lifetime access to the complete resource bundle

Convenient and cost-effective way to gain knowledge in multiple domains

What Will You Learn?

Ai, AWS, Business Analytics,
BI, Azure

Data Science, Deep Learning, Docker, Kubernetes, Keras

Machine Learning, Power BI, Python, R, SAS

Excel, MATLAB, MatPlotLib, Minitab

Neural Network, SPSS, SQL, Hadoop, Big Data

Tableau, Tensorflow, Splunk, Informatica, EViews

MongoDB, MS SQL Server, Salesforce

NLP, Numpy, Pandas, Octave, OpenGL

PyMongo, PySpark Developer

Data Analytics, Statistics

Predictive Modeling, Forecasting, Regression Analysis

And many more skills.

Curriculum

Goal:

This comprehensive training program on financial analysis covers a wide range of topics, including financial statement analysis, corporate finance, investment analysis, and portfolio management. With 250+ courses covering everything from basic accounting to advanced financial modeling techniques, this program is ideal for individuals looking to enhance their financial skills.

Learning Objective:

After completing this module, you should be able to:

  • Create data visualization effects easier for business analysis, generate insightful/inferential business decisions
  • Design and devise relationships across datasets
  • Create smart worksheets and interactive dashboards, build storylines on the analyzed data
  • Securely collaborate across organization

Core Topics:

  • Understanding various aspects of GUI such as Menus
  • Connection to various Servers
  • Building Relationships across datasets
  • Creating worksheets using charts and graphs for data visualization
  • Applying Filters,
  • Building smart and interactive dashboards
  • Creating storyboards

Software platforms/Tools: Tableau Desktop, MS Excel

Goal:

This module prepares you on how to conduct quantitative data analysis spread across wide range of quantitative/econometrics/predictive modelling/quality control/decision tree techniques

Learning Objective:

After completing this module, you should be able to:

  • Conduct extensive quantitative data analysis across data types using a wide variety of quantitative/statistical/econometrics techniques
  • Implement quality control charts and interpret outputs
  • Implement Predictive modelling and Decision trees, and interpret their outputs

Core Topics:

  • Understanding Menus, and GUI (Graphical User Interface)
  • Implementing descriptive statistics algorithms and generating outputs, interpreting output
  • Implementing correlations techniques and identifying relationships for and across various variables in datasets
  • Implementing wide variety of regression techniques

Software platforms/Tools: SPSS, MS Excel

Goal:

Building skillsets necessary for conducting comprehensive quantitative data analysis

Learning Objective:

After completing this module, you should be able to:

  • Conduct extensive quantitative data analysis across data types using a wide variety of quantitative/statistical/econometrics techniques
  • Implement quality control charts and interpret outputs
  • Implement Predictive modelling and Decision trees, and interpret their outputs

Core Topics:

  • Understanding Menus, and GUI (Graphical User Interface)
  • Implementing descriptive statistics algorithms and generating outputs, interpreting output
  • Implementing correlations techniques and identifying relationships for and across various variables in datasets
  • Implementing wide variety of regression techniques

Software platforms/Tools:Minitab, MS Excel

Goal:

The goal of this course is to train all the trainees on Microsoft Power BI which is a business intelligence service by Microsoft that provides interactive data visualization features. This training will be covering all the essential topics that are concerned with Microsoft Power BI. One of the main goals of this course is also to help to master this service so that they can draft solutions on BI based problems.

Learning Objective:

After completing this module, you should be able to:

  • Retrieve business intelligence therein and make informed business decisions
  • Perform data visualization on the business datasets and drive business decisions resultant out of informed insights
  • Create worksheets, charts and graphs, dashboards, BI reports and workspaces
  • Transform and conduct data modelling
  • Apply Artificial Intelligence tools for BI

Core Topics:

  • Microsoft Power BI
  • Data Analysis and Visualization
  • Sale Performance
  • Market Place Analysis
  • Creating a Manager Performance Report

Goal:

In this module, you will learn coding and syntax pertaining to R-programming. Create R projects and environment for saving and implementing R-projects

Learning Objective:

After completing this module, you should be able to:

  • Create R projects environment and workspace
  • Import data in various file formats
  • Write codes in R-program, run and implement the codes
  • Import and implement libraries for specific coding tasks pertaining to time series analysis, machine learning, deep learning (using heuristics and neural networks) analytics
  • Implement data visualization libraries for generating visually appealing charts and graphs

Core Topics:

  • Understanding RStudio compiler, setting working directories
  • Importing datasets into R
  • Creating dataframes using R
  • Writing codes and programs in R
  • Importing libraries pertaining to machine learning, deep learning
  • Running and implementing codes

Software platforms/Tools: RStudio, MS Excel

Goal:

This course from EduCBA has been carefully crafted in order to upgrade oneself in the genre of Data Analysis and Data Science. This training will go along way in making you the data scientist organizations are looking out for by means of making you understand deeper concepts of Machine Learning!

Learning Objective:

After completing this module, you should be able to:

  • Understand concepts of supervised and unsupervised learnings
  • Write programs and codes using in-built machine learning algorithms and functions in Python and R compilers
  • Implement wide range of machine learning algorithms such as regressions, correlations, decision trees,
  • You will also learn and acquire R and Python programming skills and techniques and build competencies on syntax and libraries therein
  • Perform Exploratory Data Analysis (EDA)

Core Topics:

  • Machine Learning with R 2022
  • Machine Learning with Python 2022
  • Mathematical and Statistics Foundations for Machine Learning
  • Machine Learning with Tensorflow
  • Deep Learning
  • Machine Learning with SciKit-Learn in Python
  • Octave Machine Learning Training
  • AI Artificial Intelligence with Python
  • Natural Language Processing (NLP)
  • Bayesian Machine Learning
  • Business Intelligence Publisher using Siebel
  • Business Intelligence
  • Logistic Regression using SAS Stat
  • Linear Regression in Python
  • Poisson Regression with SAS Stat
  • Time Series Analysis in Python

This Econometrics course covers a lot of valuable skills for econometric data analysis. There are as below:

  • Univariate data analysis of time series data
  • Multivariate data analysis of time series data
  • Loading and analyzing data from multiple sources
  • Loading data of multiple formats
  • Regression modeling
  • Correlation techniques
  • Scatter plot
  • ARMA modeling
  • Generation and interpretation of the output of various models
  • Various econometric tests and concepts
  • Visualizations and graphs
  • These skills are very important and can provide job opportunities with clients that use reviews as these days people only look for candidates who are very comfortable with practical coding and problem-solving. The case studies and examples described in the course provides a unique value proposition to prospective candidates as students learn concepts very easily when they see the examples.

    Goal:

    This Training is solely focused on Apache Hadoop open-source software which plays an important component in Big Data Analytics and its storage. It is designed to make the readers a well certified Big Data practitioner by providing rich hands-on experience and training on Hadoop.

    Learning Objective:

    After completing this module, you should be able to:

    • Learn Hadoop technology and help make a user well profiled in Big Data
    • Easily grasp all the deep earnings within Hadoop and Big Data

    Core Topics:

    • Big Data and Hadoop Training
    • Hadoop Architecture and HDFS
    • MapReduce
    • Hive
    • PIG
    • NoSQL
    • Mahout
    • Apache Oozie
    • Apache Flume
    • Apache Storm
    • Apache Avro
    • Apache Spark
    • Splunk

    Goal:

    The primary goal of this course is to train every individual on AWS who is willing to master working with the cloud. This training is focused on delivering practical knowledge to the trainees together with theoretical knowledge. After finishing this course, you will be able to work very effectively with cloud services and especially AWS.

    Learning Objective:

    After completing this module, you should be able to:

    • Implement things on a cloud that will help your business
    • Understand the services offered by other cloud service providers
    • Work with all the components of AWS and will also be able to design the infrastructure proficiently

    Core Topics:

    • Amazon Web Services (AWS) Certified 2022
    • AWS Certified Solution Architect Associate
    • AWS Certified Developer Associate 2022
    • AWS DevOps Engineer Certification 2022
    • AWS Certified DevOps Engineer Professional 2022
    • AWS Certified SysOps Administrator - Associate
    • Cloud Migration
    • Cloud Computing for Business Users
    • Amazon Alexa Tutorials
    • Hosting WordPress Website on Amazon AWS

    Goal:

    The primary aim of this training program is to educate individuals about all the concepts of SAAS training which could be used to provide a platform managed by a third party. SAAS is a web-based software platform that is used in marketing to promote its customers. After the end of this course, trainees will be able to work with the advanced level of SAAS software and will be able to adapt easily with different technological changes.

    Learning Objective:

    After completing this module, you should be able to:

    • Improve accessibility, scalability, and reliability and minimize overhead and maintenance costs of the infrastructure
    • Understand integration with other platforms which will eliminate the requirements of any expensive hardware
    • Work effectively and efficiently on SAS

    Core Topics:

    • SAS Features for Starters
    • SAS Business Analytics
    • Predictive Modeling with SAS Enterprise Miner
    • Quantitative Finance with SAS
    • SAS Statistics
    • Logistic Regression using SAS Stat
    • Poisson Regression with SAS Stat
    • SAS ODS (Output Delivery System)
    • SAS PROC SQL
    • SAS Macros
    • SAS Advanced Analytics
    • SAS Advanced Programming
    • Certified SAS Base Programmer

    Goal:

    Goal: This course from EduCBA has been carefully crafted in order to upgrade oneself in the genre of Data Analysis and Data Science. This training will go along way in making you the data scientist organizations are looking out for by means of making you understand deeper concepts of Machine Learning!

    Learning Objective:

    After completing this module, you should be able to:

    • Derive meaning out of huge data of organization
    • Learn tips and tricks for performing Exploratory Data Analysis (EDA)
    • take a deep dive into Deep Learning
    • get exposure to the technical depth of Supervised and Unsupervised Learning

    Core Topics:

    • Machine Learning with R 2022
    • Machine Learning with Python 2022
    • Machine Learning with Tensorflow
    • Hands-on Deep Learning Training
    • Machine Learning with SciKit-Learn in Python
    • Octave Machine Learning Training
    • AI Artificial Intelligence with Python
    • Deep Learning Tutorials
    • Natural Language Processing (NLP) Tutorials
    • BI - Business Intelligence
    • Logistic Regression using SAS Stat
    • Linear Regression in Python
    • Poisson Regression with SAS Stat

    Goal:

    The ultimate aim of this training program is to provide training and knowledge to individuals regarding social engine optimization as it is one of the most demanding skills and the industry requirement is very high. with the help of this training program, individuals would be able to pursue their career in the field of social engine optimization as the course covers all the key skills required to pursue their career as an SEO developer.

    Learning Objective:

    After completing this module, you should be able to:

    • Learn key terminology of search engine optimization
    • Learn conversion rate optimization
    • Google Analytics to analyze data and getting meaningful insights out of it
    • Learn Email marketing and building a powerful targeted database

    Core Topics:

    • Search Engine Optimization (SEO)
    • Conversion Rate Optimization (CRO)
    • Google Analytics
    • Google Adwords
    • Google Ads Training
    • Digital Marketing
    • Local SEO

    Goal:

    The primary goal of this course is to train everyone willing to master the Internet of Things. We have included all the concepts in the course which will help the trainees to achieve expertise in working with this technology. All the skills that must be required by one to leverage this technology proficiently will be practiced in this course.

    Learning Objective:

    After completing this module, you should be able to:

    • Implement all the concepts of IoT for the actual usage
    • Learn Python that are required to implement the Internet of Things
    • Use cloud services to implement the concepts of IoT

    Core Topics:

    • IoT Automation with ESP8266
    • IoT Raspberry Pi
    • IoT Raspberry Pi for Programmers
    • Python Bootcamp
    • AWS IoT
    • Advanced Python for Data analysis
    • IoT Cloud

    Goal:

    The main goal of the course is to provide a deeper understanding and hands-on learning experience on Cloud Computing that deals with managing the storage of data and the computing capability of the system without any human interference. along with real-time Cloud Computing projects to provide an overall knowledge on the Cloud Computing domain.

    Learning Objective:

    After completing this module, you should be able to:

    • Understand Azure and AWS cloud services
    • Learn AWS Email Service which provides knowledge on cloud-based emailing service
    • Build and run on-demand applications without the help of servers

    Core Topics:

    • Amazon Web Services (AWS) Certified 2022
    • AWS Certified Solution Architect Associate
    • AWS Certified Developer Associate 2022
    • AWS Certified DevOps Engineer Professional 2022
    • Email Service AWS SES
    • AWS Certified SysOps Administrator - Associate
    • Virtualization and Cloud Computing
    • Microsoft Azure
    • Chef Devops Essentials and much more

    Goal:

    The goal of this course is to train the trainees on all the features provided by Azure which is the cloud service provided by Microsoft. The other goal of this course is to give practical exposure to working with Azure to the trainees so that they can understand how things work in Azure. After completing this course, the trainees will be able to work with all the services offered by Azure.

    Learning Objective:

    After completing this module, you should be able to:

    • Learn all the services that are included under Azure
    • Design complex infrastructure and optimize the cost
    • Learn Microsoft Azure Data Factory that is used to train folks on Azure data factory

    Core Topics:

    • Microsoft Azure
    • Azure Cognitive Services
    • Data Lake
    • Data Factory
    • PAAS Overview
    • App Services

    Goal:

    The goal of this module is to help you understand Salesforce Administration, visual force components and their implementation. It includes 2 courses and 2 hands-on projects with 25+ hours of video tutorials.

    Learning Objective:

    After completing this module, you should be able to:

    • Use Visualforce to build apps that align with the styling of Lightning Experience
    • Learn Customer Relationship Management with the powerful SAAS based CRM software Salesforce CRM

    Core Topics:

    • Salesforce Administration
    • SalesForce CRM
    • Projects on SalesForce

    Goal:

    The goal of this course is to train folks on all the underlying and advanced level concepts of Splunk which are software that analyses the system generated data. This training will help the trainees to master every single concept that falls under the court of Splunk. After finishing this course, the trainees will be able to work very effectively with all the features offered by Splunk.

    Learning Objective:

    After completing this module, you should be able to:

    • Work using Splunk to solve real-life problems
    • Learn Splunk Statistics and Visualisation
    • Solve the data monitoring and presentation based problems

    Core Topics:

    • Splunk Fundamentals
    • Splunk Statistics and Visualisation
    • Splunk Knowledge Objects
    • Splunk Infrastructure and Components
    • Configuration Files and Index Management
    • Splunk Authentication
    • Splunk Universal Forwarder
    • Windows Inputs and Agentless Inputs
    • Manipulating Raw Data
    • Performance Tuning

    Goal:

    The goal of this training is to hep you learn beginner to advanced informatica, teradata, DAC, informatica powercenter 9.X and much more. You need to spend 47+ hours to complete this course.

    Learning Objective:

    After completing this module, you should be able to:

    • Understand informatica architecture and components
    • Learn Teradata architecture and features
    • Deal with various aspects of informatica and DAC

    Core Topics:

    • Informatica
    • Informatica 9.6.1
    • Informatica Powercenter 9.X
    • Informatica and DAC Training
    • Teradata and Informatica

    Goal:

    The goal of this course is to help you understand all the topics that fall under the court of Microsoft SQL which is a relational database management system developed and managed by Microsoft. This course has been intended to enable all sorts of trainees to work very effectively with this RDBMS so that they can find it pretty simple to work with this database. Once this course is finished, the trainees will be ample cognizant about the related topics and will be able to draft solutions for database related problems.

    Learning Objective:

    After completing this module, you should be able to:

    • Achieve proficiency in working with Microsoft SQL
    • Work in this database management system
    • Manage the errors in this project which is referred to as error handling
    • leverage this database to solve the problems that could be resolved using Microsoft SQL

    Core Topics:

    • SQL Server
    • MS SQL Server
    • T-SQL
    • MSBI and SSIS
    • SSIS - SQL Server Integration Services
    • SSRS Reporting
    • C# .net Practical

    Goal:

    The main goal of the course is to provide a deeper understanding and hands-on learning experience on the Data Science domain with the help of Python programming language along with real-time Data Science projects to provide an overall knowledge on Data Science domain.

    Learning Objective:

    After completing this module, you should be able to:

    • Learn Visualization techniques that are needed for a Data Scientist role
    • Perform statistics and machine learning algorithms
    • Learn libraries such as SciKit, Pandas, Matplotlib, PySpark, Seaborn, Video Analytics using Opencv and much more

    Core Topics:

    • Machine Learning with Python 2022
    • Machine Learning with SciKit-Learn in Python
    • Data Science with Python Training 2022
    • Matplotlib for Python Developers
    • Pandas with Python Tutorial
    • NumPy and Pandas Python
    • Seaborn Python
    • PySpark Python
    • Artificial Intelligence with Python
    • OpenCV
    • Statistics Essentials with Python
    • Tensorflow
    • Python for Finance
    • Financial Analytics with Python
    • Linear Regression in Python
    • Time Series Analysis in Python

    Goal:

    The eventual goal of this course is to make one cognizant about Data science and all the approaches that are required to become a data science expert. leveraging unstructured data to extract some useful information will be the primary focus of all the modules and sub-module covered in this course.

    Learning Objective:

    After completing this module, you should be able to:

    • Master programming languages like Python and R
    • Present data in the graphical form so that one can be able to extract the useful information out of the unstructured data
    • Work proficiently with all aspects of big data

    Core Topics:

    • Machine Learning with Python 2022
    • Machine Learning with SciKit-Learn in Python
    • Matplotlib for Python Developers
    • Pandas with Python Tutorial
    • NumPy and Pandas Python
    • Data Science with Python
    • Artificial Intelligence with Python
    • Video Analytics using OpenCV and Python Shells
    • Seaborn Python
    • PySpark Python and much more

    Goal:

    The central idea behind providing this training program on statistical analysis training is to make learners and individuals efficient with the use of statistical analysis that is one of the most demanding skills in the present industry. With the help of this training program, individuals would be able to learn about the concept of statistical analysis and how Daikin news statistical analysis as there main career option. The training also aims at providing quality and industry-ready individuals to the industry so that the gap between the supply and demand can be bridged easily.

    Learning Objective:

    After completing this module, you should be able to:

    • Understand the core concepts and terminologies related to statistical analysis
    • Learn Statistical tools in Microsoft Excel
    • Learn Statistics for data science using python

    Core Topics:

    • Statistical Tools in Microsoft Excel
    • Mathematical and Statistics Foundations for Machine Learning
    • Statistics Essentials with Python
    • Statistics Essentials for Analytics
    • SPSS 2022
    • Predictive Modeling using SPSS
    • Minitab
    • SAS Business Analytics
    • Quantitative Finance with SAS
    • Business Analytics using R
    • EViews
    • Tableau Desktop Training 2022
    • Splunk Fundamentals

    Goal:

    It aims to provide knowledge about the core of business analysis to build and start your business analyst career in the right way. It provides training to the folks about how datasets are useful and how they can be leveraged to solve problems and increase efficiency, productivity, and revenue of the business.

    Learning Objective:

    After completing this module, you should be able to:

    • Analyze data using R Programming Language
    • Perform analytical modeling to anticipate and optimize results and gain profit
    • Learn SEO Analytics Strategies
    • Learn Fraud Analytics using R

    Core Topics:

    • SAS Business Analytics
    • Financial Analytics and Statistical Tools
    • SEO Analytics Strategies
    • Customer Analytics
    • Marketing Analytics
    • Google Analytics
    • Business & Data Analytics
    • Video Analytics using OpenCV and Python Shells
    • Statistics Essentials for Analytics
    • Analytics using QM
    • Data Analytics with QlikView

    Goal:

    This course focuses on how business intelligence uses business analytics tools that make it easy to combine data from multiple sources, analyze and visualize information. It helps trainees in making more informed and better decisions to guide the business. After the completion of the course trainee will be through with all the concepts of business intelligence.

    Learning Objective:

    After completing this module, you should be able to:

    • Run a business strategically
    • Make better decisions for your business
    • Build the fundamental architecture for functioning business intelligence systems

    Core Topics:

    • Business Intelligence
    • Business Intelligence using Microsoft Excel
    • Business Intelligence with Tableau
    • Business Intelligence Publisher using Siebel
    • Analytics using Tableau
    • Comprehensive Course on R
    • Minitab - Predictive Modeling
    • SPSS - Predictive Modeling using SPSS
    • Predictive Modeling with SAS Enterprise Miner
    • SAS Features for Starters
    • Predictive Modeling Training
    • Data Science with Python
    • Big Data and Hadoop
    • Hadoop Architecture and HDFS
    • Oracle SQL

    Goal:

    The central idea behind providing this training program on data visualization is to make individuals aware of the concept of data visualization and how it can be perceived as a choice of career. With the help of this training, an individual should be able to understand the core concepts of data visualization that can help them in developing their career in the field with great expertise and knowledge. Data analytics and visualization are one of the most demanded skills and with the help of this training, we would be able to bridge the gap between the industry demand and the pool of talented people looking for opportunities in the same field.

    Learning Objective:

    After completing this module, you should be able to:

    • Understand the terminologies related to machine learning and artificial intelligence
    • Understand the pricing analysis system with the use of different data sets and visualization methods
    • Learn artificial intelligence, machine learning, python, statistics, and much more.

    Core Topics:

    • Data Analytics with QlikView
    • QlikView Security
    • CloverETL Data Integration
    • EViews
    • Artificial Intelligence and Machine Learning
    • Machine Learning using Python
    • Mathematical and Statistics Foundations for Machine Learning
    • Business Intelligence with Tableau
    • Analytics using Tableau
    • Business & Data Analytics
    • Informatica
    • Oracle SQL
    • SAS Graph
    • Statistical Tools in Microsoft Excel

    Skills you will master

    Data Analysis:

    • Collecting primary and secondary data from online
    • and offline sources
    • Collating and Data cleansing
    • Implementing tools for generating analytical output.

    Big Data:

    • Learn about Hadoop, ecosystem, tools, and spark
    • Develop the ability to build and assess data based models
    • Manipulate data with Spark and Scala to express algorithms for data analysis

    Quantitative Analysis:

    • Learning and understanding quantitative techniques such as descriptives statistics, distributions, inferential statistics, relationship modelling
    • Using and implementing predictive modelling, diagnostics modelling and prescriptive analytics

    Business Analysis:

    • Implementing data analysis through segregation of data across different business verticals, making sense of the output
    • Analyzing the outputs, and monitoring current business growth
    • Devising business strategies for future business growth

    Data Visualization:

    • Visual representation of collated data in the forms of graphs, charts
    • Formatting pictorial representation for detailed business and data analysis

    Process design and development:

    • Creating business workflow from scratc
    • Mapping and testing the process for its deliverability and efficiency

    Machine Learning:

    • Learn the fundamentals of Machine Learning and how to apply techniques to create real-world AI applications
    • Understand a wide variety of learning algorithms
    • Understand how to evaluate models from the data
    • Understand the concept of neural networks for learning linear and non-linear activation functions

    Deep Learning:

    • Learn to solve problems in linear algebra, probability, optimization, and machine learning
    • Learn to build deep models to understand the complex relations among the variables
    • Understand MLP, SLP theories, syntax, and commands to draw scatter plots
    • Learn to build and train neural network architectures such as CNN, RNN, LSTMs, and Transformers

    Programming:

    • Learn the principles of algorithmic thinking and programming
    • Implement simple computer programs to make use of program libraries
    • Understand basic computer and programming fundamentals such as variables, conditions, branches, loops, functions, etc
    • Learn binary number system and understand the difference between syntax, runtime, and logic errors

    Statistics:

    • Learn the fundamentals of statistics to plot various types of data
    • Estimate confidence intervals and calculate correlation and covariance
    • Test the hypothesis and understand the mechanics of regression analysis

    Benefits

    There are several benefits to taking these courses, including

    Gaining knowledge in various fields

    Our All-in-One bundles cover a wide range of topics, allowing you to gain understanding in multiple areas. It is beneficial for those professionals looking to change careers.

    Improving career prospects

    By gaining knowledge in multiple areas, you can make yourself more attractive to potential employers, leading to better job opportunities and higher salaries.

    Saving time and money

    Instead of enrolling in multiple programs, our All in One bundles offer a cost-effective solution by providing access to all the courses in one place.

    Convenience

    Access to all the courses in one place makes it easy to manage your learning and take classes at your own pace and on your own schedule.

    Data Science is an outstanding career with tremendous potential, opportunities, and advancement in the future. It is the fastest growing, most in-demand industry in technology. There is a need for skilled and talented data scientists in various sectors to fill the skill gap as there is a demand and requirement to make operational efficiency in the business.

    If you're looking for a way to jump-start your career, earning a Data Science course is an important step. Even if you have experience in a Data science career, you can opt for this course to advance your skills with new technologies to help you grow, stand out amongst the competition, and increase your earning potential.

    You'll have flexibility, freedom, and option in the field as you will never be bored in your work. You'll have the freedom and flexibility to work all around the world. If you're ready to stand out amongst the competition and make an impression on potential employers, this is the best time to enroll and carve your career path in this lucrative industry.

    Course Features

    Here are some of the course features in the All in One bundles

    1. Lifetime access The bundles offer lifetime access, which means you can access the course content anytime, even after completing the course.

    2. Certification We offer completion certification, which you can add to your resume or LinkedIn profile to showcase your skills to potential employers.

    3. Expert support With expert support, you can email your queries and receive help from industry experts or course instructors.

    4. Mobile accessibility The courses are easily accessible on mobile devices, which allows you to learn on the go and at your own pace.

    5. Interactive learning materials Interactive learning materials such as videos, quizzes, and assignments can help reinforce learned knowledge and improve understanding of the subject.

    6. Progress tracking The bundles offering progress tracking allow learners to track their progress and ensure they meet their learning goals.

    Career Opportunities

    The All in One bundle offers a wide range of courses in various fields, opening up many career opportunities for individuals who complete the courses. Here are some examples of potential career paths

    1.Machine Learning

    • a. Data Scientist
    • b. Senior Machine Learning Engineer
    • c. Data Science Manager
    • d. Software Developer

    Hiring Companies: Apple Inc, Accenture, Intel Corporation,Ford Motor

    2. Artificial Intelligence

    • a. Lead Data Scientist
    • b. Software Engineer
    • c. Research Scientist
    • d. Computer Scientist

    Hiring Companies: Amazon, Microsoft, IBM, Facebook

    3. Data Science

    • a. Senior Data Scientist
    • b. Data Science Manager
    • c. Data Science Director
    • d. Lead Data Scientist

    Hiring Companies: Deloitte, Google, Nielsen, JP Morgarn

    4. Data Visualization

    • a. Data Analyst
    • b. Data Scientist
    • c. Data Visualization Specialist
    • d. Analytics Specialist

    Hiring Companies: Wipro, JPMorgan Chase,KPMG, IBM

    5. Cloud Computing

    • a. Solutions Architect
    • b. Cloud Solutions Architect
    • c. IT Architect
    • d. DevOps Engineer

    Hiring Companies: Tata Consultancy Services, LTI, Oracle, Capgemini

    Our alumni in top companies

    Who can take this course

    Students

    Students from technical backgrounds can opt for this course. Enhance your skill with the latest data science tools and techniques to upskill and secure better job opportunities.

    Working professionals

    Working professionals can enhance their existing skills and gain new skills and knowledge, which they can apply in their current or future jobs.

    Entrepreneurs

    Entrepreneurs wanting to start or grow their businesses can benefit from these programs by gaining knowledge and skills in marketing, finance, and project management, which are essential for running a successful business.

    Career changers

    Professionals from the data science field can also opt for this course to keep themselves updated with new technologies or brush up on the latest trends.

    Pre-Requisites

    Willingness to pursue a career as Data Science Engineer, Web developer, or Python Developer: There is no pre-requisite for accomplishing this course; anyone who is willing to learn and enhance their career in such a lucrative field can opt for this course. It would require dedication, time, and patience to complete this course as it covered from scratch to practical hands-on.

    Knowledge of the fundamentals: There are no prerequisites. Every new learner can enroll in our courses. However, it would be helpful for Individuals with existing knowledge of the basic terminologies and fundamental concepts.

    Dedication & Eagerness to learn:Unwavering enthusiasm and 100% commitment to pursue the courses are the prime prerequisite for enrolling in this bundle. The learners must not only understand the concepts but make constant efforts to practice the learned concepts.

    FAQs:

    Here are frequently asked questions (FAQ) that someone might have about the All-in-One bundles:

    Are the courses in the All in One bundles self-paced?

    Yes, all the All in One bundle's courses are self-paced, meaning you can learn at your own pace and schedule. It provides flexibility for individuals with other commitments, such as work or school.

    Is certification provided upon completion of the courses?

    Most of the All in One universal bundle courses provide certification upon completion. However, few courses, such as exam-related preparation courses, do not offer certification.

    Can I access the courses on my mobile device?

    Yes, all the All in One Universal bundle courses are accessible on mobile devices. We allow individuals to learn on the go and provide convenience for individuals who may not always have access to a computer. Learners can also download our EDUCBA Learning app on the play store and the app store to access all the courses on their mobile.

    Can learners without specific knowledge in the field access the all-in-one bundles?

    Yes, individuals without prior knowledge of the domain can enroll in our all-in-one universal bundle. Our courses offer a detailed understanding of the most basic to advanced concepts in all the fields, which helps new learners easily grasp the subject matter.

    Is this All in One Data Science course worth considering?

    The training course provides a wide range of first-hand experience to acquire industry-relevant skills. Thai eventually will make you a better fit for the market. The course curriculum is curated by considering market skills such as Python Programming, Java, Dot Net, statistical modeling, front-end visualization, and many more. Completing this course will help you to acquire the relevant tools required in tech fields. It can offer students and professionals the opportunity to apply analytics to explore new career avenues.

    I don’t have to have knowledge or experience in Computers or Data Science concepts and techniques, is this All in One Data Science course a better choice for my profession?

    Novices can opt for this All in One Data Science Course as well to learn and get into accurate learning skills

    Will this Data Science course provide any value to my career or profession?

    The Data Scientist role is highly in demand in today's competitive world, and the use of data is increasing in every sector hence Data Science course from EDUCBA will add an added advantage to your career.

    What are the other related Finance Courses offered by eduCBA?

    EDUCBA offers a variety of finance courses. Here are some of them:

  • Data Science with Python Training (24 Courses, 14+ Projects)
  • Machine Learning Training (19 Courses, 29+ Projects)
  • Hadoop Training Program (20 Courses, 14+ Projects)
  • Data Scientist Training (85 Courses, 67+ Projects)
  • R Programming Training (13 Courses, 20+ Projects)
  • Deep Learning Training (18 Courses, 24+ Projects)
  • Data Visualization Training (15 Courses, 5+ Projects)
  • What if I have queries while completing this Data Science online course?

    We are always willing to assist. If you have a query, please contact us at info@educba.com, and we will try our best to respond within 24 hours.

    How soon after registering for this course would I get access to the Course Content?

    After enrolling in this Data Science course, you will immediately receive access, which is available to you for a lifetime. All you need to do is log in to EDUCBA using the credentials and access study materials like video content and reference files.

    How would I make time for this comprehensive course?

    The idea is to find a bite-size time for each course. You can decide to do one course, Let’s say a Basic programming course, in a week and find an hour or two on the weekdays and a few hours at the weekend to complete the course.

    Who are the instructors for this course?

    All the instructors at EduCBA are industry practitioners with at least 10-12 years of relevant experience. They are subject matter experts trained by EduCBA to provide an excellent learning experience.

    certificate sample

    Financial Analyst Course – Certificate of Completion

    Rebecca Jones
    Of all the sites, I prefer Educba because it offers so many affordable courses. Its study materials and resources are comprehensive and very easy to learn from. The 24/7 course availability allowed me to learn the modules whenever I wanted. It was a very satisfactory program. I enrolled in the financial analyst, software development, and marketing course and learned about multiple fields.
    Joe Clarkson
    I purchased the universal bundle and got access to many fabulous courses and resources. The bundles are so well structured, with well-written modules and even tests. Due to its mobile-friendly courses, I could choose when and how much to study. The lessons are so much fun to learn from. Also, the diversity in the bundles of programs they provide is fantastic.
    Atul Deshmukh
    I recently finished the data science bundle and learned much about Big data, machine learning, and AI. The accessibility and convenience of the courses make it one of the best programs I’ve enrolled in. It was a worthy purchase. The hands-on e-learning and support from the team were beneficial.

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