Making Numerical Predictions for Time Series Data - Part 1/3

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All Level 6 Hours 2.53 mins of Video Lecture Language: English Lifetime Access Certificate of completion Flash Sale $9 $200 Discount: 95.50% off

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Key Topics Covered

Predicting using Descriptive Statistics, Moving Averages, Centred Moving Averages, Weighted Moving Averages
Predicting using Linear Regression
Predicting using Exponential Regression
Predicting using Power Regression
Predicting using Logarithmic Regression
Predicting using Polynomial Regression
Using Excel to make Predictions
Using Data Analysis Tool Pak from Excel
Using LINEST(), LOGEST(), GROWTH(), TREND() functions in Excel

Who can take this course?

Basic Knowledge of Statistics
Basic Knowledge of Algebra
Basic Knowledge of Logarithm
Basic Knowledge of Excel

Course Description

Predictive analytics is the branch of the advanced analytics which is used to make predictions about unknown future events. Predictive analytics uses many techniques from data mining, statistics, modelling, machine learning, and artificial intelligence to analyse current data to make predictions about future. One class of Predictive Analytics is to make prediction on Time Series Data. Studying historical data, collected over a period of time, can help in building models using which future can be predicted. In this course, we go through various aspects of building Predictive Analytics Models. We start with simple techniques and gradually study very advanced and contemporary techniques. We cover using Descriptive Statistics, Moving Averages, Regressions, Machine Learning and Neural Networks. This course is a series of 3 parts. In Part 1, we use Excel to make Numerical Predictions from Time Series Data.
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Course Instructor

PARTHA MAJUMDAR Follow

Just a Programmer

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Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a p... Read More

Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution, Hospital Management solution, Travel Management solution, Manufacturing Resource Planning (MRP II) solution, Insurance Management solution and Tax automation solution (for Government of Thailand).Partha got involved in Telecom solution with project from Total Access Communications, Bangkok in 1996. Partha developed the solution architecture and designed & developed the complete infrastructure services and primitives on top of which the end-to-end Customer Care and Billing solution was developed between 1996-1998. Partha started his career in 1989 as a programmer. In his first assignment, he was involved in development of a Cricket Tournament management system as a part of the team from Centre for Development of Telematics (C-DOT) requested by the Prime Minister of India, Mr. Rajiv Gandhi. Since then Partha has developed Tea Garden automation solution, Hospital Management solution, Travel Management solution, Manufacturing Resource Planning (MRP II) solution, Insurance Management solution and Tax automation solution (for Government of Thailand).Partha got involved in Telecom solution with project from Total Access Communications, Bangkok in 1996. Partha developed the solution architecture and designed & developed the complete infrastructure services and primitives on top of which the end-to-end Customer Care and Billing solution was developed between 1996-1998. Read Less