Registrations Closed!

A PRIMER COURSE ON DATA SCIENCE AND MACHINE LEARNING 

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Data Science

   6 Weeks + Projects
   Online
   Prerequisites: None!

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About the Course

Why Summer Analytics?

With the availability of numerous paid and free courses across the internet, it becomes overwhelming for students to start with Data Science. To demystify the process, we painstakingly curate a list of topics from over 25+ websites and create a simplified path for our community to follow within 2 months.


What does it cover?

Data Science is all about extracting meaningful insights from huge amount of data. This online data science certification course will revolve around the concepts of Python, Machine Learning, Data Cleaning and Data Analysis. This course will help you understand core concepts and the latest advancements including aspects of Supervised and Unsupervised machine learning, and introduce you to the very latest tools and algorithms used in the industry.

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Who We Are

The course is conducted by Consulting & Analytics Club, IIT Guwahati, in the winter, and along with Winter Consulting and other initiatives, we support 25K+ students and professionals each year. The online course was started to train the students from IIT Guwahati but has eventually spread out to universities and organisations across India and beyond - spanning 35+ countries worldwide.

SA'23 Statistics

6.7K+

Registrations

35+

Countries

1.5K+

Organisations

250+

Hours of Content

Testimonials

Curriculum

Python - Image

Week 1

Introduction to Python and Python Libraries

∙Basics of Python
∙NumPy
∙Pandas
∙Data Analysis and Visualisation

Machine Learing | Src: BuiltIn

Week 2

ML Algorithms

∙Handling Missing Values
∙Types of Machine Learning
∙Linear Regression
∙Logistic Regression
∙Cost Function
∙Gradient Ascent

Model Tuning

Week 3

Model Tuning

∙Generalisation
∙Overfitting and Underfitting
∙Support Vector Machines
∙The Confusion Matrix
∙Evaluation Metrics

Binary Trees | Src: GeekForgeeks

Week 4

Tree-based Algorithms

∙Tree Based Models
∙Gradient Boosting
∙Feature Selection & Engineering
∙Hyperparameter Tuning

Neural Netwroks | Src: IBM

Week 5

Neural Networks

∙Introduction to Deep Learning
∙Unsupervised Learning
∙Dimensionality Reduction
∙K Means Clustering

Webinars

Week 2-6

Webinars, AMA Sessions & Hackthons

∙Webinars by Industrial Experts
∙Hackathons
∙Weekly Discussions

Registrations Closed!

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