Data Analytics Using Google CoLab : A course for Beginners

What you'll learn
Problem solving skills related to data
Detecting hidden pattern in the data
Building Predictive models for different domains
Basic concepts of Business Statistics and Machine Learning
Advance statistical concepts used in business analytics and data analytics
Time Series Forecasting
Building Recommendation System
Quiz on each section for evaluation

Description
In this course we have examples of analytics in a wide variety of industries, and we expect that students will learn how you can use data analytics in their career and become data analyst. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics data models. The course has four module first module give learner knowledge about python programming which include packages like Pandas, Numpy and Scipy are being taught in detail, second module introduces Business Statistics where students will get in depth knowledge of Descriptive Statistics, Inferential Statistics and Predictive Statistics along with their example in python i.e. how to implement all statistical modules in python, third module introduces to machine learning in which you will be introduced with Linear and Logistic Regression , Ordinary Least Squares, SVD and PCA for reducing dimensions of the data and the fourth module dedicated to implementation of learned ideas in projects where you were taught to work on data through four phases Data Discovery, Exploratory Data Analysis ,Model Building and result analysis. This is not an end you will going to have a free demo on "Building Movie Recommendation system from scratch" in Google CoLab.

Who this course is for:
Beginners willing to learn programming Business Statistics in Python
Beginners Python developers curious about analysis of data

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