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Niti
- Rate R407
- Response 1h
-
Students1
Number of students Niti has accompanied since joining Superprof
Number of students Niti has accompanied since joining Superprof
R407/h
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- Career Coaching
Data Science with Python and Power BI FastTrack Bootcamp for working professionals and students
- Career Coaching
Lesson location
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)
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About the lesson
- Primary
- Secondary
- Matric/GCSE
- +9
levels :
Primary
Secondary
Matric/GCSE
Adult education
BTech
Masters
MBA
Beginner
Intermediate
Advanced
Professional
Kids
- English
Languages in which the lesson is available :
English
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
Syllabus:
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.
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Recommendations
Recommendations are written by the tutor's friends, family, and acquaintances.
1
Niti was a great tutor. Very knowledgeable and effective in curriculum delivery. She also goes above and beyond by helping her students fetch a job within the industry. Overall, I would recommend her to anyone looking to upskill or change their career.
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Rates
Rate
- R407
Package rates
- 5h: R2035
- 10h: R4070
online
- R407/h
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