Course Curriculum

Week 1-4

Data Science Essentials
  • Dashboarding & Automation using Excel (spreadsheet)

  • Data Visualization & Data Storytelling using Tableau

  • Dashboarding Handling using Python

  • Case Studies

Week 5-8

Descriptive Statistics & Exploratory Data Analysis
  • Visualize Data using Python

  • Analytical Problem Solving & Structured Thinking using Real world business case studies

  • Exploratory Data Analysis using Large Data Sets

  • Descriptive & Inferential Statistics using Mini Case Studies

  • Hypothesis Testing

  • Case Studies

Week 9-12

Predictive Analytics & Machine Learning
  • Multiple Linear Regression - Help a large insurance company predict customer lifetime sales potential

  • Logistic Regression

  • Clustering

  • Principal Component Analysis (PCA) & Factor Engineering

  • Model Validation, Evaluation & Model Selection

  • Real-world Projects from Credit Risk, Marketing, HR, eCommerce, Cab Aggregator Industries

Week 13-16

Advanced Machine Learning
  • Decision Trees

  • Random forest

  • Boosting & Bagging

  • Neural Networks Foundation

Week 17-24


AI & Deep Dive into Deep Learning

  • Neural Networks Principles & Engineering Foundation

  • Tensorflow

  • Keras

  • Pytorch

Case Studies

Standard Course Fee

(No 'pay as you earn' payment option)

Pay us full fees of Rs 1,65,000 + GST upfront.




Pay As You Earn

(Income Sharing Agreement)

Pay us 17.5% of your salary for 36 months or Rs. 8195 whichever is higher if you are earning minimum guaranteed CTC. Maximum capped at Rs. 2,50,000/- + GST.



Filling of Primary and extensive application forms with academic  and personal background.



There will be a series of assessments on Quantitative, Critical Reasoning and Interpersonal skills

Demo class 

Selected students will take a three day demo class followed by an assessment.

Interview And ISA signing 

Students selected by an final interview by experts will sign the ISA and start the course.

SkillEnable Academy

Suit 5J, Diamond Chambers,

4 Chowringee Lane, 

Kolkata 700016.

(+91) 9831365455

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