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Scaler's Data Science & Machine Learning Course
Designed for Working Professionals

About Scaler Data Science

Scaler Data Science is a tailor-made program for you to make or take your career in Data Science to the next level via:

  • Vetted curriculum by Industry experts
  • Live classes by Data Scientists
  • 1:1 mentorship from industry veterans 
  • Live business scenario projects
  • Extensive Career support 

Alumni and peer network of 3,500+ Scaler students

Curriculum

Beginner Modules (16 Weeks) - 4 Months

  • Tableau + Excel
  • SQL
  • Beginner Python

Data Analysis and Visualization¹ (16 Weeks) - 4 Months

  • Python Libraries
  • Probablity and Applied Statistics
  • Product Analytics

Foundations of Machine Learning and Deep Learning* - (12 Weeks) - 3 Months

  • 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

  • Neural Networks
  • Computer vision
  • Natural Language Processing

Machine Learning Ops³ - (4 Weeks) - 1 Month

  • 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

Advanced Data Structures and Algorithms⁴ - (16 Weeks) - 4 Months

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

Career Services

  • 600+ 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
  • ⁴The 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
Attention Learner!
We've noticed that you're already a paid learner. This WorkShop is designed for non-enrolled users only. The content covered in this WorkShop is included in your current curriculum. However, if you're still interested in participating, you're welcome to proceed by making a payment.
Note: You will have access to the recording of this workshop for free in your dashboard after the 2-day event is completed.
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