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Data Science Training Programme


The data science programme is designed to cover the industry specific needs and approach to excel in the IT career which is covered by highly experienced and an IIT Mumbai alumni trainer in one to one classroom sessions along with the practical exposure.

The programme highlights

The programme will help you kickstart your journey to data science career.

Classroom based sessions
IIT Alumni faculty
Interaction with industry expert
Case studies
Project work
Solve real world problems
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Overview

Our Applied Data Science programme consists of four weeks units that enable students to solve real-world problems through data analysis. Our practical and hands on approach ensures the skills students acquire and translates it seamlessly into the workplace.

Across three weeks ,participants learn and gain an relevant experience to a business problem or task, to utilize data in aggregate statistics and visualizations, and will be able to model trends to showcase insights and make practical business decision

The Roadmap

Training

Learn the basics fundamentals from industry experts.

Internship

Apply the knowledge and gain practical experience.

Placement

Placement assistance on grounds of skill set achieved.

UNIT 1: Scientific computing and python



In Part I, participants gain a comprehensive introduction to scientific computing, Python, and the related tools data scientists use to succeed in their work.

Skills :

Data Wrangling ,Basic + Advanced Data Analysis ,Python Basic Syntax + Data Structures ,Object Oriented Programming ,CSV ,For Loops ,While Loops ,JSON ,NumPy ,Pandas, SQL

UNIT 2: Machine learning and statistical analysis

In part II, participants will learn how to build machine learning models to make predictions based on real-world data and will understand the best way to treat, clean, and encode data and how to choose the appropriate machine learning models for the task. Participants will properly tune the model to create a generalized model that performs well on both a training set and on out-of-sample data. They will learn how to build models using text and time series data.

Skills :

Data Wrangling ,Basic + Advanced Data Analysis, Python Basic Syntax + Data Structures ,Object Oriented Programming ,CSV ,For Loops, While Loops ,JSON,NumPy,Pandas,SQL

Placements

After successful evaluation students will be recommended for placements with partners and customers. The placement assistance in profile building , interview preparation and one to one mentoring sessions will be conducted.

Who can apply for this course

Professionals with Prerequisite knowledge of software development.

Graduates with Knowledge of mathematics and statastics.

Software developer to enhance skills in machine learning.

Students to aspire to work as data analyst , data scientist.

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Internship Overview

The internship programme consists of two months hands on sessions for the trained professionals to gain industry exposure and the experience. The professionals can utilize the knowledge gained during the training programme while working on an assignment. The candidates will be provided with few case studies to relate the data science concepts in real time project.

Who can apply

Professionals who have successfully completed the UNIT I and UNIT II in data science training programme

Professionals who have cleared the internship evaluation test

Technology stake

Python
Jupyter
Numpy
Pandas
Power BI
Tableau
SQL
Matplotlib
Programme fees: 20500 INR
Internship fees:
5000 INR /m
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Programme curriculum of Data Science

The programme curriculum designed keeping in view to gain the fundamentals along with learning the required tools and framework.

Python Tokens, Keywords, Identifiers, Literals

Variables and Data types

Python Strings, Booleans and Operators

Input and Output in Python

Conditional Statements & loops

Functions

List

Tuple

Sets

Dictionary

Read files

Write/Create files

Delete files

NumPy

Pandas

Matplotlib

Seaborn

Scikit-learn

Mean, Median& Mode

Descriptive & Inferential Statistics

Percentiles

Normal Distribution

Central Limit Theorem

Hypothesis Testing

Introduction

Supervised & Unsupervised Learning

Regression & Classification

Logistic Regression

Linear, Multilinear Regression

SQL (Language)

MYSQL

Basics of Power BI, Tableau

Meet the Mentor

Mr. Ashok Wathore


Ashok sir specializes in training Data Analytics and Visualization, Statistics for Data Science, Machine Learning, Deep Learning and Natural Language Processing.

Global exposure includes extensive working experience in USA,UK and Saudi Arabia and collaborating with stakeholders from US, Canada,UK, Japan,Australia and other countries

Ashok sir is an IIT Alumni with 20+ years of experience working with multinational corporations and advised , trained more than 1000+ students along with consulting corporates.

START A JOURNEY TO BECOME A DATA SCIENTIST

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