Data Scientist Course in Philippines (128 Courses, Online Certification)

Learn from Home Offer

What you get in this DATA SCIENTIST - Specialization | 150 Course Series?

608+ Hours

150 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Data Scientist Course Philippines

Course Name	Online Data Scientist Course Philippines
Deal	You get access to all videos for the lifetime
Hours	608+ Video Hours
Core Coverage	You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data and analytics
What do you get?	Certificate of Completion for the course
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	None
System Requirement	1 GB RAM or higher
Other Requirement	Speaker / Headphone

Data Scientist Course in Philippines Curriculum

Due to the vastness of the application of the Data Science domain, the tools and technologies available to aid are also expanding at a rapid pace. It could prove to be intimidating to a fellow aspirer unless a structured guide or path is available. This Data Scientist Course in the Philippines was created as a one-stop solution to build a strong fundamental base, both in the technology and science (or theory) required to be efficient while practicing Data Science. It thus starts with getting a rock-solid foundation in python programming and it’s most powerful libraries for Data Science. Next, it gets you familiar with R, language designed primarily for data science and analysis. Once these languages are picked up, the course continues to explore more complex and niche technologies, which can reduce significant programming effort during some part of your data science project life cycle. These include SAS, Hadoop, SPSS, Splunk, MATLAB, Minitab, Tableau, and Oracle DB. Each of these enables one or more features among data storage, data processing at scale, exploratory data analysis, structured data processing, and data visualization capabilities, etc. Technology training, together with the multiple hands-on projects you stumble upon during coursework, will show real-life problems faced during a data science project and provide crucial experience to overcome inertia, not addressed in most of the available online courses. Post-certification, a person should be confident to take on real-life problems at scale independently.

MODULE 1: Data Science with Python Essentials Training

Courses	No. of Hours	Certificates
Machine Learning with Python 2024	5h 17m	✔
Machine Learning with Python Case Study - Covid19 Mask Detector	2h 05m	✔
Deep Learning: Automatic Image Captioning for Social Media with Tensorflow	2h 23m	✔
AI Machine Learning in Python	8h 37m	✔
Predictive Analytics and Modeling with Python	8h 26m	✔
Matplotlib for Python Data Visualization - Beginners	4h 12m	✔
Matplotlib for Python Data Visualization - Intermediate	2h 53m	✔
Matplotlib for Python Data Visualization - Advanced	6h 37m	✔
Pandas with Python Tutorial	5h 56m	✔
NumPy and Pandas Python	4h 8m	✔
Pandas Python Case Study - Data Management for Retail Dataset	3h 22m	✔
Python Case Study - Sentiment Analysis	57m	✔
Data Science with Python	3h 6m	✔
Artificial Intelligence with Python - Beginner Level	2h 51m	✔
Artificial Intelligence with Python - Intermediate Level	4h 34m	✔
AI Artificial Intelligence & Predictive Analysis with Python	6h 15m	✔
Video Analytics using OpenCV and Python Shells	2h 13m	✔
Machine Learning using Python	3h 26m	✔
Statistics Essentials with Python	3h 23m	✔
Project on Tensorflow - Implementing Linear Model with Python	1h 46m	✔
Project - Data Analytics with Data Exploration Case Study	5h 7m	✔
Random Forest Algorithm using Python	1h 27m	✔

MODULE 2: Data Science with R & Python Essentials Training

Courses	No. of Hours	Certificates
Seaborn Python - Beginners	2h 28m	✔
Seaborn Python - Intermediate	1h 18m	✔
Seaborn Python - Advanced	1h 56m	✔
PySpark Python - Beginners	2h 16m	✔
PySpark Python - Intermediate	2h 02m	✔
PySpark Python - Advanced	1h 18m	✔
Machine Learning Python Case Study - Diabetes Prediction	1h 02m	✔
R Studio UI and R Script Basics	4h 13m	✔
R Programming for Data Science \| A Complete Courses to Learn	5h 7m	✔
Logistic Regression & Supervised Machine Learning with R	4h 14m	✔
Decision Trees Modeling using R	1h 4m	✔
Project on ML - Churn Prediction Model using R Studio	1h 22m	✔
Financial Analytics in R - Beginners	3h 53m	✔
Financial Analytics in R - Intermediate	1h 28m	✔
Financial Analytics in R - Advanced	1h 35m	✔
R for Finance - Beginners to Beyond	2h 17m	✔
Comprehensive Course on R	3h 54m	✔
Time Series Analysis and Forecasting using R	4h 34m	✔
Project - Fraud Analytics using R	2h 34m	✔
Project - Marketing Analytics using R and Microsoft Excel	2h 9m	✔
Machine Learning with R	20h 25m	✔
Case Study - Customer Analytics using Tableau and R	2h 7m	✔
Case Study - Pricing Analytics using Tableau and R	2h 39m	✔
Business Analytics using R - Hands-on!	16h 21m	✔
Project - Market Basket Analysis in R	37m	✔
Project - Hypothesis Testing using R	3h 6m	✔
Data Visualization with R Shiny - The Fundamentals	39m	✔
Data Science with R	6h 2m	✔
R Studio Anova Techniques Course	2h 18m	✔

MODULE 3: Data Science with SAS Essentials Training

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 45m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔
SAS Statistics	8h 18m	✔
SAS ODS (Output Delivery System)	9h 36m	✔
SAS PROC SQL	13h 49m	✔
SAS Macros	7h 25m	✔
SAS Advanced Analytics	12h 22m	✔
SAS Graph	2h 1m	✔
SAS DS2	4h 59m	✔
SAS SQL	3h 01m	✔
SAS Practical - Macros	5h 5m	✔
SAS Advanced Programming	10h 7m	✔
SAS Categorical Data Analysis	7h 16m	✔
Certified SAS Base Programmer	12h 2m	✔
SAS Features for Starters	1h 5m	✔
SAS PROC SQL Features	1h 49m	✔

MODULE 4: Big Data & Hadoop

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 2m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 01m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 5m	✔
Apache Oozie	2h 11m	✔
Apache Storm	2h 4m	✔
Apache Spark - Beginners	1h 4m	✔
Apache Spark - Advanced	5h 49m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔

MODULE 5: Learning from Projects & Practicals

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	47m	✔
Project on Hadoop - Tourism Survey Analysis	53m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
SPSS 2024 - Beginners	1h 07m	✔
SPSS 2024 - Advanced	5h 19m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
SPSS GUI and Applications	1h 13m	✔
SPSS - Correlation Techniques	1h 8m	✔
Linear Regression & Supervised Learning with SPSS	3h 07m	✔
SPSS - Multiple Regression Modeling	2h 34m	✔
Logistic Regression & Supervised Learning using SPSS	2h 37m	✔
SPSS - Multinomial Regression	2h 2m	✔
SPSS GUI for Statistical Analysis	2h	✔
Tableau Desktop Training 2024	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Tableau Project - Russo-Ukraine War A Data Analytical Review	1h 02m	✔
Tableau	4h 7m	✔
BI Tools and Tableau Analytics	5h 38m	✔
Business Intelligence with Tableau	5h 43m	✔
Tableau Features Hands-on!	5h 32m	✔
Tableau Practical - Super Store Business Requirements	45m	✔
Analytics using Tableau	9h 28m	✔

MODULE 6: Minitab and MATLAB

Courses	No. of Hours	Certificates
Minitab for Beginners - 2024	1h 15m	✔
Advanced Minitab Training - 2024	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 35m	✔
Statistical Analysis using Minitab - Beginners to Beyond	4h 21m	✔
Minitab GUI and Descriptive Statistics	2h 43m	✔
ANOVA in Minitab	52m	✔
Correlation Techniques in Minitab	2h 18m	✔
Project on Minitab - Regression Modeling	9h 36m	✔
Minitab Predictive Modeling using Excel	55m	✔
MATLAB - Beginners	3h 9m	✔
MATLAB - Intermediate	47m	✔
MATLAB - Advanced	4h 1m	✔

MODULE 7: Database & SQL

Courses	No. of Hours	Certificates
Oracle SQL	17h 32m	✔
Oracle PLSQL	13h 2m	✔
Oracle DBA 1	9h 27m	✔
Machine Learning ZERO to HERO - Hands-on with Tensorflow	13h 03m	✔
Deep Learning ZERO to HERO - Hands-on with Python	11h 17m	✔
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression	2h 07m	✔
Project on R - HR Attrition and Analytics	2h 4m	✔
Logistic Regression using SAS Stat	4h 26m	✔
Linear Regression & Supervised Learning in Python	2h 28m	✔
Logistic Regression & Supervised Machine Learning in Python	2h 6m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
Develop a Movie Recommendation Engine	51m	✔
Random Forest Techniques and R - Employee Attrition Prediction	1h 6m	✔
Predictive Analytics Model for Term Deposit Investment using CART Algorithm	1h 38m	✔
Poisson Regression with SAS Stat	2h 21m	✔
Machine Learning Project using Caret in R	1h 58m	✔
Sales Forecasting using Time Series Analysis in Python	2h 13m	✔

Data Scientist Course – Certificate of Completion

Who is a Data Scientist?

A necessary skill for any professional to be called a Data Scientist is understanding of mathematical and statistical algorithms and formulae required to identify and prove statistical relationships between events. This forms the actual foundation of any reasoning to be done for a given problem statement.

Once a person has good enough capability to understand how to prove the existence of statistical relations (or non-existent of one), he/she attempts to do it as a scale.

This is done with the aid of modern technologies to mainly automate data collection, data cleaning and wrangling, data storage, data visualization, statistical inference and proof, and then prediction capability, and optimizing data pipelines for production usage. Most junior data scientist become efficient at 1-2 of these activities, experience has a fair idea of all, and the veteran is capable of causing advancements in a given area.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year

The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

The Data Scientist Course in the Philippines covers a wide set of technologies, ensuring a one-stop solution for all your data science needs. It begins with a deep-diving in python usage, a skill you must have. Then moves to teach R, a language at par with python for data science and analysis. These two are the foundational skills for any exploratory projects. The second half of the courses get you familiar with key technologies considered cutting edge in the industry currently. These include Hadoop, SAS, Tableau, Splunk, Minitab, etc. Each of the sections comes with hands-on projects and exercises giving you the necessary experience in their usage.

Pre-requisites

Nonetheless, learning time can be reduced significantly if there’s previous programming or scripting experience, especially familiarity with languages R or Python.

Target Audience

Data Scientist Course in the Philippines in itself contains content that addresses the basics or the foundational details and as well as advanced problems and an experienced professional also might not have encountered. Thus it is limited to the will for the person to grow holistically in this futuristic field. College students, fresh graduates and experienced candidates can all find the content useful in their growth.

Data Scientist Course Philippines – FAQ’s

Why should you take up the Data Scientist course in the Philippines?

The Philippines, being one of prominent developing countries, experienced massive development and growth in tech-based industries including e-commerce and digital media usage. In the past decade, roles related to SEO and Digital Marketing picked up traction, creating thousands of new jobs for skilled workers. Big Data and Data Analytics domain is the focus now, and there’s already an ever-growing demand for skilled Data Science professionals. A person can create great demand for the next decade why undergoing complete professional training, such as the one taught here.

What is the Data Scientist market trend in the Philippines?

While there’s already a global shortage of skilled Data Scientists, this demand is extremely high in developing countries like the Philippines due to budding start-up industries. Also, the country is assumed to be the center for big data analytics in the future. Recently even the government voiced their prediction of increasing demand for skilled professionals in the analytics domain, proving it’s vitality both in the short and long term. The industry is on the verge of exploding in terms of shortage of resources and now is the right time to enter this domain with a long term growth perspective.

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Career Benefits

Data Scientists

command strong knowledge in core theory revolving around statistical inference, understand the different rules and hypotheses to apply a varying set of problem statements, and wield the technology-stack required to do these activities within a feasible and acceptable time of an enterprise. Any personnel finishing the course in its entirety will possess a strong control over all these activities. One would be able to pick up large-scale industrial analytics projects and do anything required to turn around new projects efficiently and effectively.

Reviews

Data science with python

The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked

Jorge Giro

Business Analytics using R

The data scientist course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data scientist course tried to cover them all which made very comfortable for me as a student.
Linked

Abderrahmane Friha

Amazing First Sashay with Customer Analytics

If you’re looking to dipping your toes into customer analytics, this Data scientist course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the data scientist training course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked

Acee Vitangcol

Great content

Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked

Jorge Dominguez

Good Introduction to Marketing Analytics

It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked

DATA SCIENTIST - Specialization | 150 Course Series