Motive

Data science is not a day job or a course. Its passion for us. Our motive to is solve as many business problems as possible using ML/AI along with sharing our knowledge. WE aim to fabricate over lakh quality data scientist in near future.

WORKSHOP

Overview


The purpose of the workshop is to make students industry ready in the fastest growing Data science field and bridge the gap of data science workforce by creating a great training platform. With our industry experience, trying to make it simpler and smoother.


What you'll learn


Technology is growing faster than ever in the history. Are you behind ? Be in the present and create the future. Learn whats happening around by industry experts and stay connected.


By the end of the workshop, you will know:

Introduction to Machine learning & AI, use cases and why is important.

Theory for Statistics, Machine learning, Data Science, Analytics and AI.



Data Science Tools like R, Python and SQL.

Real Time Industry Projects.


Curriculum


It's a 2/4-day workshop with extensive data science hands on training. It includes multiple real time projects.



Session 1

Introduction to Machine learning & AI

  • Basic concepts
  • Supervised & Unsupervised Learning
  • Regression & Classification Problems
  • Use cases


Introduction to Basics of Statistics

  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Advanced Statistical Tests
  • Introduction to Statistical Modelling



Session 2

LAB: Hands-on

  • R
  • Basic
  • EDA
  • Tests in R
  • Real Time Case Study
  • Quiz
  • Assignment



Session 3

Linear Regression

  • Assumptions
  • Problem Analysis
  • Mathematical Modelling of Regression Model
  • Best Fit Line
  • Gradient Descent Algorithm
  • Programming Process Flow
  • Use Cases


Logistic Regression

  • Assumptions
  • Problem Analysis
  • Mathematical Modelling of Model
  • Best Fit Line
  • Programming Process Flow
  • Use Cases



Session 4

LAB: Hands-on

  • Programming Using Python
  • Building Simple Univariate Linear Regression Model
  • Multivariate Regression Model
  • Building a Logistic Regression Model
  • Real Time Case Study
  • Quiz
  • Assignment



Session 5

Decision Trees And Random Forest

  • Forming A Decision Tree
  • Components Of Decision Tree
  • Mathematics Of Decision Tree
  • Decision Tree Evaluation
  • Practical Examples & Case Study


Support Vector Machine

  • Concept And Working Principle
  • Mathematical Modelling
  • Optimization Function Formation
  • The Kernel Method and Nonlinear Hyperplanes Use Cases


Artificial Neural Networks

  • Neurons, ANN & Working
  • Single Layer Perceptron Model
  • Multilayer Neural Network
  • Feed Forward Neural Network
  • Cost Function Formation
  • Applying Gradient Descent Algorithm
  • Back Propagation Algorithm & Mathematical Modelling


SQL

  • Writing Simple Queries
  • Data Manipulation Using SQL
  • Joins and EDA Using SQL


Introduction To Unsupervised Learning - Clustering

  • Hierarchical Clustering
  • K Means Clustering
  • Use Cases For K Means Clustering




Session 6

LAB: Hands-on

  • Programming For K Means Using Python
  • Building Svm, Decision Tree And Random Forest In Python
  • Real Time Case Study
  • Quiz
  • Assignment



Session 7

Introduction To Data Science - Part 2

  • Introduction To Deep Learning
  • Deep Learning Essentials - CNN, RNN
  • Natural Language Processing
  • Recommendation System
  • Use Cases



Session 8

Career Building

  • Interview Grooming
  • Career Counselling
  • Tips to Launch the Career
  • Gist of Corporate World


Pricing


We are planning to conduct the workshop at very reasonable price and that depends on number of students register.


Mentors


Our teaching team consists of the best data scientists with 4-10 years of industry experience working for leading data science companies. Get to learn Data Science from an Industry experts spread across MNC's core data science team.

All our data scientists have worked on various Machine Learning, Deep Learning and Artificial intelligence projects by applying state of the art techniques. They are experts in Python, Spark and Tensor flow with deep knowledge of statistics and algorithms.

Few of them have got masters in Management and are certified Data Scientist from prestigious University and few of them are authors and speakers.

Hurry Up! Grab your chance to learn directly from industry experts to acquire the hottest jobs of this era.