Niti - Prof career coaching - Toronto


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  • Hourly rate $35
  • Response Time 24h
  • Number of students 1
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1st lesson is free!

1st lesson is free!

Data Science with Python and Power BI FastTrack Bootcamp for working professionals and students

About the lesson

The entire course is case study based with hands on training in all topics. The syllabus covered are as follows:

Data science with Power BI, machine learning, Linear programming, Python and excel

Objective: Data scientist and data analyst are responsible for inferring hidden insights in the business data and solve business problems with machine learning algorithms.

Total course time: 9-10 weeks, 50 - 55 Hours


Module 1 : Basic Statistics for Data science

· Day 1 - Basic business statistics, Variable types, Central tendency, Standard deviation and Variance

· Day 2 -Probability Theory - Basics and Baye's theorem

· Day 3 -Data Distributions

· Day 4 and 5 -Hypothesis Testing

· Day 6 - Case studies on Hypothesis Testing

· Assignment Case study : probabilities and Hypothesis testing

· Day 7 & 8 - Discussion on the Assignment and Query session

Module 2 : Data Visualization – Power BI

· Day 9 Introduction to Power BI , interface and products

· Day 10 Data Types and basic Visuals

· Day 11 Data cleaning with Power BI

· Day 12 Custom Visuals, custom dimensions and measures, slicers and indexing records

· Day 13 DAX queries

· Day 14 Complete dashboard and online publishing

· Day 15 On premises gate way, row level filtering

Module 3:

Introduction to Python Programming for Data Science

· Day 16 Data Munging Basics

· Day 17 Data visualization

· Day 18 Basic Maths with Python

· Day 19 Outlier Detection

Module 4 : Introduction to Machine Learning

· Day 20 Supervised learning and Unsupervised learing Introduction

· Day 21 Introduction to regression - simple linear regression

· Day 22 Multiple linear regression

· Day 23 Logistic regression

· Day 24 Random Forest

· Day 25 Support Vector Machine

· Day 26 XG Boost

· Day 27 Cluster Analysis with Python - K means

· Day 28 DB scan clustering

· Day 29 Market basket Analysis

· Day 30 Page Rank Algorithm

· Day 31 AHP

Module 5 : Optimization

· Day 32 Introduction to linear programming

· Day 33 Problems with Linear Programming

Other info: Our course is 100% job-oriented. Uses real-time applications like Healthcare analytics, HR analytics, NGO dataset, Production analytics and marketing analytics.


  • Career coaching


  • English


  • All Levels

About Niti

I am a certified analytics professional with 6+ years of experience in the field of Data science. I have been actively training students across the globe on topics related to Data science. I am a former visiting faculty at IIT and Ministry of small medium enterprises. I am an Alumni of a Premium B school (Indian Institute of Management- Bangalore)



  • 5 h: $175
  • 10 h: $350


  • $ 35/h

free lessons

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