Price: ₹ 999/-

Dates:26th and 27th June, 2021

Days:Saturday & Sunday

Hours: 4 hrs. per Day

Class Mode: Live Interactive Sessions

About Workshop

The Data Science Workshop focuses on building up your practical skills so that you can understand how to deal with data and develop simple machine learning models in python with effective modern data science. You'll learn from real examples that lead to real results.

See how the predictive power of data drives modern business. Step into the world of data science with Vitti.
During our introductory workshop, explore the job Harvard Business Review has dubbed “the sexiest of the 21st century,” and see how modern businesses are harnessing the power of data to drive innovation. Working with real-world case studies, you’ll: Learn what data scientists do and the types of problems they solve. Walk through the typical data science workflow and see how the pros identify powerful business predictions. Explore key tools and processes data scientists use to analyze, visualize, and model data. Apply what you’ve learned to a data set to produce your own recommendations.

Workshop Advantage

Data Science Workshop will take the participants through conceptual knowledge and applied foundation of the subject.
  • Learn the basics of Machine Learning and Python Language
  • Engage yourself in live project and learn how to do a Data science project.
  • Develop plan for collection of relevant data and make structure for keeping them
  • Filter, structure, and manage the data for use as per analytics requirements.
  • Visualise the existing business problems and find out the most appropriate tools for data analysis.

* Please Note: A laptop is required for this workshop.

Prereqs & Preparation
Participants must have a laptop. Please download Anaconda beforehand here .
Participants should have some basic technical aptitude, orientation to computers, and the curiosity to learn new tools.

workshop Program Curriculum

Day 1

Basics of Python
  • A quick introduction to Python syntax, variables, assignment, and numbers.
  • Functions, Booleans and Conditionals, Lists, Tuples, Loops, Strings and Dictionaries
Python Data Science Tool box
  • External Libraries like Pandas, Numpy and Matplotlib
  • User defined functions and Lambda Functions
Dealing with Data
  • Diagnose data for cleaning, Exploratory Data Analysis, Data Visualization
Pandas Foundation & Manipulating Data Frames with Pandas
  • Building data frames from Scratch, Statistical Exploratory Data Analysis

Day 2

Learn Basics of Machine Learning
  • What is Machine Learning and Types of Machine Learning?
Working with a Project
  • Introduction to Kaggle Working on Titanic – Machine Learning from Disaster
  • Submitting your solution to Kaggle
  • Twitter Sentiment Analysis Project

Vitti Partners

Enquire Now