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Home Data Science Data Science Courses FORECASTING MODELS Course Bundle – 18 Courses in 1

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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4.5 (14,590 ratings)

* One Time Payment & Get One year access

Offer ends in:

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

  • MODULE 1: Statistics Essentials Training

    Courses No. of Hours Certificates Details
    Statistical Tools in Microsoft Excel1h 05m✔
    Machine Learning & AI with Python | Mathematics & Statistics8h 23m✔
    Statistics Essentials with Python3h 23m✔
    Statistics Essentials for Analytics - Beginners2h 5m✔
    Predicting Prices using Regression Techniques2h 18m✔
  • MODULE 2: Logistic Regression & Predictive Modeling

    Courses No. of Hours Certificates Details
    Time Series Analysis and Forecasting using R4h 34m✔
    R Practical - Telecom Customer Churn Prediction1h 27m✔
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m✔
    House Price Prediction using Linear Regression in Python3h 2m✔
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m✔
  • MODULE 3: Forecasting using R

    Courses No. of Hours Certificates Details
    Project on R - Card Purchase Prediction2h 28m✔
    Predictive Analytics Model for Term Deposit Investment with R Studio3h 2m✔
    Decision Trees - Bank Loan Default Prediction using R1h 47m✔
    Project on ML - Churn Prediction Model using R Studio1h 22m✔
  • MODULE 4: Forecasting using Python

    Courses No. of Hours Certificates Details
    Sales Forecasting using Time Series Analysis in Python2h 13m✔
    Predictive Analytics and Modeling with Python8h 26m✔
    Logistic Regression & Supervised Machine Learning in Python2h 6m✔
    Machine Learning Python Case Study - Diabetes Prediction1h 02m✔

Sample Certificate

Course Certification

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

  • Michelle Esber
    Comprehensive course for refresher

    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

  • Sumeet Deepak Shinde
    Business Statistics Course

    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

  • Nikhil Kumar
    Good and detailed assessment.

    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

  • Sumari Hattingh Van Niekerk
    Statistical Tools in Excel: Review

    This course was great to attend and learn about Excel's "Data Analytics" add-in function!

    Sumari Hattingh Van Niekerk

* One Time Payment & Get One year access

Offer ends in:

Training 5 or more people?

Get your team access to 5,000+ top courses, learning paths, mock tests anytime, anywhere.

Drop an email at: [email protected]

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Course Curriculum
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    CoursesNo. of Hours
    Statistical Tools in Microsoft Excel1h 05m
    Machine Learning & AI with Python | Mathematics & Statistics8h 23m
    Statistics Essentials with Python3h 23m
    Statistics Essentials for Analytics - Beginners2h 5m
    Predicting Prices using Regression Techniques2h 18m
    Time Series Analysis and Forecasting using R4h 34m
    R Practical - Telecom Customer Churn Prediction1h 27m
    Predictive Analytics Model for Term Deposit Investment using CART Algorithm1h 38m
    House Price Prediction using Linear Regression in Python3h 2m
    Random Forest Techniques and R - Employee Attrition Prediction1h 6m
    Project on R - Card Purchase Prediction2h 28m
    Predictive Analytics Model for Term Deposit Investment with R Studio3h 2m
    Decision Trees - Bank Loan Default Prediction using R1h 47m
    Project on ML - Churn Prediction Model using R Studio1h 22m
    Sales Forecasting using Time Series Analysis in Python2h 13m
    Predictive Analytics and Modeling with Python8h 26m
    Logistic Regression & Supervised Machine Learning in Python2h 6m
    Machine Learning Python Case Study - Diabetes Prediction1h 02m

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