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Data Science Free Class
STARTS ON:
July 8, 2023 12:00 PM (IST)
ENDS ON:
July 8, 2023 2:00 PM (IST)
VENUE:
Online

About this Free Live Class

Do you find yourself wondering how a non-techie like you can achieve your forte in Data Science & Machine Learning?

Working Professionals from non-technical backgrounds often face a setback when they think about switching their careers. And, when the dream is about becoming a skilled Data Scientist, the dream looks like a mirage.

In order to turn that dream into a reality, we have scheduled a Free Class for all the non-coders, non-techies, and professionals from various fields who wish to upskill, alter their careers or simply add Data Science skills to their domain

Register and attend a live class with Srikant Varma Chekuri, Senior Vice President, Data Science and ML Programs, Scaler Data Science, where he will explain how you can transition into a career in Data Science and Machine Learning (DS&ML)

Note: This Free Class is for all kinds of Working Professionals, irrespective of their backgrounds, skills & coding experience

 

About Srikant Varma Chekuri (LinkedIn)
  • Co-Founder & Principal Instructor, Applied AI & AppliedRoots
  • Senior ML Scientist @ Amazon, Palo Alto and Bangalore
  • Co-Founder, Matherix Labs
  • Research Engineer, Yahoo! Labs
  • Masters from IISc Bangalore, Gate 2007(AIR 2)
  • 13 years of experience in AI and Machine Learning
  • Co-Founder & Principal Instructor, Applied AI & AppliedRoots
Who is this Free Live Class for?
Data Scientists and ML Engineers looking to UpSkill
Non-coding background working professionals who want to move to Data Science
Working Professionals who want to add Data Science skills to their portfolio (Marketing, HR, Finance, Operations etc.)
 

 

About Scaler Data Science

Introduction

Scaler Data Science is India's No.1 Outcome-focused and Immersive Data Science & Machine Learning Program. The program was designed based on the insights of 100 Data Scientists from 50 Top Tech Companies.

Format

LIVE Online Lectures

No boring pre-recorded videos.

Teaching Faculty

Data Scientists and ML Engineers as Instructors & TAs

From top companies like Facebook, Google, Hotstar and more! Learn from the experience of industry veterans

1:1 Mentorship

Industry and Research Mentors

Mentoring sessions twice a month. Speak with accomplished professionals from companies like Uber to resolve your career-related queries.

Learn how to read and understand research papers. Also, get guidance to publish research papers.

Career Assistance

600+ Placement Partners

Mock interviews and guidance in optimizing your resume and Linkedin profile to give you the confidence you need to stay ahead in your tech career.

Scaler Student Community

20,000+ Ambitious Techies

Your network is your net worth!

Detailed Curriculum

Module 1: (16 Weeks) - 4 Months

Beginner Modules

  • Tableau + Excel
  • SQL
  • Beginner Python

Module 2: (16 Weeks) - 4 Months

Data Analysis and Visualization¹

  • Python Libraries
  • Probablity and Applied Statistics
  • Product Analytics

Module 3: (12 Weeks) - 3 Months

Foundations of Machine Learning and Deep Learning*

  • Advanced Python
  • Math for Machine Learning
  • Introduction to Neural Networks
    and Machine Learning

Specializations: (12 Weeks) - 3 Months Each

Machine Learning

  • Machine Learning 1: Supervised
  • Machine Learning 2: Unsupervised and Recommender systems

OR/AND²

Deep Learning

  • Machine Learning 1: Supervised
  • Machine Learning 2: Unsupervised and Recommender systems

Module 5: (4 Weeks) - 1 Month

Machine Learning Ops³

  • Streamlit
  • Flask
  • Containerisation, Docker
  • Experiment Tracking
  • MLFlow
  • CI/CD
  • GitHub Actions
  • ML System Design
  • AWS Sagemaker, AWS Data Wrangler, AWS Pipeline
  • Apache Spark
  • Spark MLlib

Module 6: (16 Weeks) - 4 Months

Advanced Data Structures and Algorithms⁴

  • Linked Lists
  • Stacks & Queues
  • Trees
  • Tries & Heaps

 

Career Services

180+ employer partners
20K+ Scaler student community
Mock interviews prep with industry experts
Optimized Resume & LinkedIn profile through expert feedback

  • ¹Placement assistance for Data Analyst/Product Analyst roles via Mastery based evaluation starts after completion of this module
  • ²You can pursue the Deep Learning specialisation after completing Machine Learning specialisation or vice versa
  • ³After completion of this module Placement assistance for Data Scientist (ML/DS) roles via Mastery based evaluation will start
  • The recorded lectures of Advanced Programming will be shared along with Teaching Assistant support (no live sessions)
  • *You can move to the advanced track only after you clear the transition test