FORECASTING MODELS
Specialization | 18 Course Series
This Forecasting Models Training includes 18 courses with 47+ hours of video tutorials and One year access. In this course, you will be introduced to many statistical tools and essentials in Microsoft excel and using machine learning, Python, Data Science and R programming you will be designing and understanding the better concepts for forecasting models. In this course, you will also be provided with a few hands-on projects and examples to implement and understand the concepts learned throughout the course.
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* One Time Payment & Get One year access
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What you'll get
- 47+ Hours
- 18 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to all 18 courses in the Projects bundle. You do not need to purchase each course separately.
- Hours: 47+ Video Hours
- Core Coverage: The main aim of this course is to provide a wide understanding of forecasting models using Excel and programming languages such as R, Python.
- Course Validity: One year access
- Eligibility: Anyone serious about learning data forecasting
- Pre-Requisites: Basic knowledge about Excel and programming
- What do you get? Certificate of Completion for each of the 18 courses and projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume or LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self Paced Learning
Content
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MODULE 1: Statistics Essentials Training
Courses No. of Hours Certificates Details Statistical Tools in Microsoft Excel 1h 11m ✔ Machine Learning & AI with Python | Mathematics & Statistics 8h 21m ✔ Statistics Essentials with Python 3h 23m ✔ Statistics Essentials for Analytics - Beginners 2h 5m ✔ Predicting Prices using Regression Techniques 2h 18m ✔ -
MODULE 2: Logistic Regression & Predictive Modeling
Courses No. of Hours Certificates Details Time Series Analysis and Forecasting using R 4h 34m ✔ R Practical - Telecom Customer Churn Prediction 1h 27m ✔ Predictive Analytics Model for Term Deposit Investment using CART Algorithm 1h 38m ✔ House Price Prediction using Linear Regression in Python 3h 2m ✔ Random Forest Techniques and R - Employee Attrition Prediction 1h 6m ✔ -
MODULE 3: Forecasting using R
Courses No. of Hours Certificates Details Project on R - Card Purchase Prediction 2h 28m ✔ Predictive Analytics Model for Term Deposit Investment with R Studio 3h 2m ✔ Decision Trees - Bank Loan Default Prediction using R 1h 47m ✔ Project on ML - Churn Prediction Model using R Studio 1h 22m ✔ -
MODULE 4: Forecasting using Python
Courses No. of Hours Certificates Details Sales Forecasting using Time Series Analysis in Python 2h 13m ✔ Predictive Analytics and Modeling with Python 8h 26m ✔ Logistic Regression & Supervised Machine Learning in Python 2h 6m ✔ Machine Learning Python Case Study - Diabetes Prediction 1h 02m ✔
Sample Certificate
Requirements
- This course does not require any prior knowledge to undergo this forecasting model training. There is no need for the advanced concepts of any programming language.
- In this course, there is a need for basic knowledge of R and Python programming. It is better to understand the concepts very quickly and easily.
- There is no need for deep knowledge of machine learning and data science, but a few basic algorithms and concepts are necessary to know as they will be easy to understand and implement.
Target Audience
- This course can be taken by those who are interested and want to explore more knowledge in data and analytics.
- This course is helpful for analysts who can easily analyze any huge data and apply the proper algorithm to predict the future trend in the obtained data.
- Technical managers, software engineers, or IT operators can also undergo this forecasting model training, which will help them upgrade their skills related to time series and forecasting models.
- Students or professionals who are interested in developing their careers or promoting themselves in the field of data science can also undergo this training.
Course Ratings
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Great course for someone like me who's been using Excel everyday but didn't know about data analysis tool available in it. I've always have to open JMP for analysis even just for simple charting and correlation plotting. Now I know I can do that in Excel too. Thanks! 🙂
Michelle Esber
This course is really good. As a business statistics student, I learned many things. I also learned how to draw charts on r console and excel.
Sumeet Deepak Shinde
During the course, we're given every small detail about statistics even with proper examples. I'm thrilled with the session and I've gained much knowledge about this. Looking forward to getting more courses from Educba.
Nikhil Kumar
This course was great to attend and learn about Excel's "Data Analytics" add-in function!
Sumari Hattingh Van Niekerk