Certificate & PG Diploma Program in Data Science & Data Engineering

100% Job-Ready Courses on Artificial Intelligence & Machine Learning


Program Highlights

Hands-on Experience

99% Practical Training to focus on real life projects on healthcare, financial services, retail, social media and many more to cover tools such as Python, Keras, Tensorflow.

Comprehensive Learning

Program covering artificial intelligence and machine learning concept such as Python, R, SQL, Tableau and PowerBI in depth. .

Industry Expert Faculty

At ICA, all faculty members are data science experts, working with corporates like JP Morgan, Nomura, Genpact, Accenture, Citibank and Barclays etc.

Learning Management System

24/7 exclusive access to our hi-tech LMS for high quality content curated by industry leaders. Access your lectures, study anytime, anywhere.

100% Job Assistance

Our students receive placement opportunities across diverse job roles as beginner and promoted to mid career and senior level at leading firms with a salary hike of 40% -80%.

Course Certification

The courses at ICA Edu Skills are cetified by National Skill Development Corporation (NSDC) under Ministry of Skill Development And Entrepreneurship, Govt. of India

Tools you will learn

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Course Outline

  Certificate in Data Science PG Program in AI & ML PG Program in Data Engineering
Job Assurance 100% 100% 100%
Duration 120 Hours 260 Hours 270 Hours
No. of Modules 7 Modules 11 Modules 9 Modules
Learning Mode Classroom
Live Session
Self-Paced		 Classroom
Live Session
Self-Paced		 Classroom
Live Session
Self-Paced
Module Details
Microsoft Excel
Statistics
SQL (Database Management System)
R Language
Python
Machine Learning
Data Visualization
Advance AI & ML 1
Advance AI & ML 2
Big Data
Domain Analytics
Basis of Programming and API
Big Data Management
Big Data Analytics Project
Cloud Data where Housing and Data Lake 1
Cloud Data where Housing and Data Lake 2
Live Project (Any 2)
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Course Curriculum

Certificate in Data Science

  • Basics of Excel
  • Visualization in Excel
  • Data Analysis in Excel
  • Formula and Loops

  • What is Statistics
  • Types of Statistics
  • Graph
  • Charts
  • Distribution
  • Standard Deviation
  • Variance
  • Measure of Dispersion
  • Sampling Probability Theorems
  • Type of Probability
  • Distribution
  • Z score
  • Hypotheses Testing
  • Central Limit Thermos
  • Type of Hypotheses Testing
  • Types of errors in Hypotheses testing

  • Download and installation
  • Introduction to R
  • Basic to R
  • Wring a code
  • Operators
  • Function
  • Data Structure
  • Data type
  • Visulations
  • Pacakeges
  • Conditional statements
  • Loops

  • Download and installation
  •  Introduction to Python
  • Basic to Python
  • Wring a code
  • Operators
  • Function
  • Data Structure
  • Data type
  • Visulations
  • Libaries
  • Conditional statements
  • Loops
  • EDA

  • Linear Regartion
  • Logistion
  • Regration
  • Clustring
  • Desition tree
  • Random Forest

  • Tablue
  • Power BI

  • Install My SQL Work
  • Bench
  • Introduction to SQL
  • Basic to SQL
  • Basic command in SQL
  • SQL data base
  • SQL references
  • Data base examples
PG Program in AI & ML

  • Basic of Excel
  • Data Analysis in Excel
  • Formula, Loops
  • Google Sheets

  • What is Statistics
  • Types of Statistics
  • Graph
    Charts
  • Distribution
  • Standard
  • Deviation
  • Variance
  • Measure of Dispersion
  • Sampling Probability Theorems
  • Type of Probability
  • Distribution
  • Z score
  • Hypotheses Testing
  • Central Limit Thermos
  • Types of Hypothesis Testing
  • Types of errors in Hypotheses Testing

  • Download and installation
  • Introduction to R
  • Basic to R
  • Wring a code
  • Operators
  • Function
  • Data Structure
  • Data type
    Visualization
  • Packages
  • Conditional statements
  • Loops

  • Download and installation
  • Introduction to Python
  • Basic to Python
  • Wring a code
  • Operators
  • Function
  • Data Structure
  • Data type
  • Visualization
  • Libraries
  • Conditional statements
    loops
  • File Handling
    LOOPS

  • Linear Regarrison
  • Logistics Regarrison
  • Clustering
  • Decision tree
  • Random Forest
  • Time Series
  • Support Vector Machine

  • Ensemble Modelling
  • PCA, LDA
  • Bagging and boosting techniques
  • Neural Network
  • Deep Learning
  • Tensor Flow

  • Recommendation Engine (Recommender system)
  • Advance Text Analytics and NLP
  • Introduction to Chat Bot’s
  • Introduction to Computer Vision

  • Tableau
  • Power BI
  • Case Study

  • Install My SQL Work Bench
  • Introduction to SQL
  • Basic command in SQL
  • Advance SQL Coding
  • SQL data base overview
  • SQL with Python

  • Introduction to Big Data Analytics
  • Hadoop
  • Spark

  • Domain Analytics
  • Marketing Analytics
  • Retails Analytics
  • Finance Analytics
  • HR Analytics
  • Health Care Analytics
  • Sports Analytics

  • Recommendation Engine
  • Chat Bot
  • Marketing Analytics
  • Retails Analytics
  • Finance Analytics
  • HR Analytics
  • Health Care Analytics
  • Sports Analytics
PG Program in Data Engineering

  • Basic of Excel
  • Visualization in Excel
  • Data Analysis in Excel
  • Formula, Loops

  • What is Statistics
  • Types of Statistics
  • Graph
  • Charts
  • Distribution
  • Standard Deviation
  • Variance
  • Measure of Dispersion
  • Sampling Probability Theorems
  • Type of Probability
  • Distribution
  • Z score
  • Hypotheses Testing
  • Central Limit Thermos
  • Types of Hypothesis Testing
  • Types of errors in Hypotheses Testing

  • Install My SQL Work Bench
  • Introduction to SQL
  • Basic to SQL
  • Basic command in SQL
  • SQL Data Base
  • SQL references
  • Data Base Examples

  • Introduction to Data Management
  • Introduction to API – Hands on

  • Introduction to BIG Data
  • Framework of Big Data
  • Data Structure and Algorithm
  • Introduction to Distributed and Parlel Computing in Big Data
  • Introduction to Hadoop
  • Hadoop Framework
  • Basis and Advance HDFS Concepts
  • Introduction and handson map reduce
  • Advance concepts in SPARK AND SCALA

Big Data Analytics Project using:

  • MAP REDUCE
  • SPARK
  • SCALA
  • HIVE
  • H- Base
  • YARN
  • APECHE AMBARI
  • KAFKA
  • NO Sql
  • Mogo DB

  • Advance Cloud Data Ware Houses
  • Advance ETL using HIVE and other tools
  • Building an Data Lake – Hands on Project
  • Building Data Lake using SPRAK
  • Data Injection using SCOOP
  • KAFKA
  • NO Sql
  • Mogo DB

  • Advance Cloud Data Ware Houses
  • Advance ETL using HIVE and other tools
  • Building an Data Lake – Hands on Project
  • Building Data Lake using SPRAK
  • Data Injection using SCOOP
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Projects

Projects will be a part of your Post Graduate Program in AI & ML to help you mastering your skills and get real-world experience in Data Science and Artificial Intelligence.

Recommendation Engine

A recommendation engine is a software application that is designed to predict the likelihood of a user's interest in certain items or actions, and make personalized recommendations to them based on their past behavior and preferences. These systems are used in a variety of applications, including e-commerce, online advertising, and media streaming services.

Chat Bot

A chatbot is a computer program designed to simulate conversation with human users, especially over the Internet. Chatbots are widely used in customer service, information acquisition, and other applications where a conversational interface can improve the user experience.

Marketing Analytics

Marketing analytics is the process of analyzing data to gain insights into customer behavior and marketing performance. It can be used to identify trends, measure the effectiveness of campaigns, and optimize marketing strategies.

Retail Analytics

Retail analytics is the process of analyzing data to gain insights into customer behavior and retail performance. It can be used to identify trends, measure the effectiveness of campaigns, and optimize retail strategies.

Finance Analytics

Finance analytics is the process of analyzing data to gain insights into financial performance. It can be used to identify trends, measure the effectiveness of investments, and optimize financial strategies.

HR Analytics

HR analytics is the process of analyzing data to gain insights into employee performance and engagement. It can be used to identify trends, measure the effectiveness of HR initiatives, and optimize HR strategies.

Health Care Analytics

Healthcare analytics is the process of analyzing data to gain insights into patient care and healthcare performance. It can be used to identify trends, measure the effectiveness of treatments, and optimize healthcare strategies.

Sports Analytics

Sports analytics is the process of analyzing data to gain insights into sports performance. It can be used to identify trends, measure the effectiveness of strategies, and optimize team performance.
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Jointly Certified with NSDC, Govt. of India

About ICA Edu Skills

We are ICA Edu Skills, India’s No. 1 Training & Skill development institute specialising in job-oriented courses to make you industry-ready. We insure the careers of the Indian Youth by combining learning with the best-in-class training and placement services at the most affordable fees possible. The courses are jointly certified with National Skill Development Corporation (NSDC).

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Data Science Certification

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Frequently Asked Questions

To enroll in the Data Science course, you must have completed your 10+ 2 or pursued graduation from a renowned university.

Upon completion of your course, clearing your assessments and projects, you will receive the certificate by ICA Edu Skills.

The certification is provided by ICA Edu Skills and is valid for a lifetime. You will get to work on 5 different projects.

A data scientist can learn up to Rs. 4 Lakhs and with experience, this salary will keep increasing.

The individual must:
  • Have completed their graduation from any domain.
  • ICA has placements in more than 30 cities spanning across India. We will try to place the candidates nearest to their hometown. However, if there are no vacancies during that certain period, we shall provide placement opportunities in other cities.
  • Students must be able to clear all the assessments post completion of every such module with an examination at the end.
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