Workshops :

1. Master The Python Interview 1-Day workshop Know More | 2.One Day Workshop - Python Project (Learn how to approach programming) Know More | 3. The Extraordinary Python Coder - Workshop Know More | 4. Artificial Intelligence for Everyone Know More | 5. Data Analytics for Solving Business Problems Know More | 6. Machine Learning for Predictive Analytics Know More

Join India's No.1 Outcome Focused

Data Science & Machine Learning PROGRAM

Curriculum Based on Real insights From 50 Top tech Companies

About Invictus Engineers Data Science & Machine Learning Course

Invictus Engineers 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
  • 1:1 mentorship from industry veterans
  • Live business scenario projects
  • Extensive Career support
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Students

MODULE 1 (8 WEEKS) - INTRODUCTION TO PROGRAMMING

Introduction To Programming

  • Decision trees & control
  • Binary number system
  • Strings
  • Arithmetic operators
  • Loops

MODULE 2 (8 WEEKS) - PROGRAMMING CONSTRUCTS

Programming Constructs

  • Functions
  • Recursions
  • Pointers
  • Structures
  • Unions
  • Dynamic Arrays
  • Asymptotic notations

MODULE 3 (15 WEEKS) - PROBLEM SOLVING & CS FUNDAMENTALS

Problem Solving & CS Fundamentals

  • Time Complexity
  • Arrays & Strings
  • Binary Search & 2 Pointers
  • Recursion, Hashing & Sorting
  • Bit manipulation
  • Stacks, Queues & Linked Lists
  • Trees, Tries, Heap & Greedy
  • DP, Graphs
  • DB, OS & Computer Networks

MODULE 4 (8 WEEKS) - STATISTICAL ANALYSIS & DATA ANALYTICS

Statistical Analysis & Data Analytics

  • Python, Jupyter, Numpy, Pandas
  • Git, Linux Terminal, File I/O
  • Statistics, Probability, Linear Algebra
  • Distributions, Sampling, Hypothesis Testing
  • Databases, SQL, Index, Partition, Schema
  • Web API, Scraping, Automation, Flask

MODULE 5 (8 WEEKS) - DATA SCIENCE & MACHINE LEARNING

Data Science & Machine Learning

  • EDA, Data wrangling, Feature Engineering
  • Supervised & Unsupervised Models
  • Ensembling
  • Factor analysis
  • Predictive Modeling & Forecasting
  • Recommender system

MODULE 6 (15 WEEKS) - ML ENGINEERING - DEEP LEARNING & BIG DATA

ML Engineering – Deep Learning & Big Data

  • Keras, TensorFlow, PyTorch
  • Neural Networks, Computer Vision, NLP
  • Reinforcement Learning
  • Research Papers in Deep Learning
  • Warehouse – AWS S3, HDFS, HBase, NoSQL
  • Ingestion – Kafka
  • Analysis – PySpark, YARN, Airflow, Hive

Learning Outcomes

  • Get real-world experience by an instructor-led Data Science & Machine Learning
  • Be able to understand Data Science & Machine Learning
  • Be able to work on real-world use cases
  • Be able to master the Data Science & Machine Learning
  • Be able to demonstrate your understanding of Data Science & Machine Learning

Career Services

  • 180+ employer partners
  • 500+ HR network
  • Mock interviews prep with industry experts
  • Optimized Resume & LinkedIn profile through expert feedback

Register Now