Affiliated to National Board of Vocational Training Education, Government of India.
Affiliated to National Board of Vocational Training Education, Government of India.

Certified Data Scientist


The certified Data scientist is designed to provide a right blend of all four facets of Data Science

  • IBM® & IABAC® Certification
  • 6-Month | 400 Learning Hours
  • 120-Hour Live Online Training
  • 25 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

The “Certified Data Science” course lets you gain proficiency in Data Science. It is a high-level data science notion designed aiming to cover all the aspects of data science with core concepts. Data Science is one of the most happening fields in business today, creating a higher number of career opportunities. The certification is  IABAC (International Association of Business and Analytics Certification) accredited which is a global certification. The course has inclusive realms, namely Statistics, Machine Learning/ Programing/Data Skills, Business Domain knowledge; covering all the mains of the Data Science helps you to achieve a solid grip over it.

  • These four facets form four pillars for the data science field. They are 1. Programing 2. Statistics 3. Machine Learning 4. Business Knowledge.
  • The course is mainly focussed on Python for core data science programming, it also includes R as necessary to enable professionals working in R.
  • Statistics are covered as required for a Data Scientist, you may find a detailed syllabus in the syllabus tab.
  • Machine Learning is the main tool kit for Data Science in predicting classification or regression.
  • This course courses all popular ML algorithms as detailed in the syllabus tab.
  • This course allows candidates to obtain in-depth knowledge by laying a strong foundation and covering all the latest data science topics.
  • The increasing demand curve for data science professionals to manage the large set of data in various organizations providing millions of job opportunities in global markets.
  • The knowledge gained through this course along with IABAC™ certificate surely helps you to become a data science professional.

Course Module

Data Science Foundation

  • Introduction To Data Science
  • Industry Applications
  • Terminologies

Python Essentials

  • Anaconda – Python Distribution Installation And Setup
  • Jupyter Notebook
  • Python Basics
  • Data Structures
  • Control Statements

R Language Essentials

  • R Installation And Setup
  • R Studio Basics
  • R Data Structures
  • Control Statements
  • Data Science Packages

Maths For Data Science

  • Essential Mathematics
  • Linear Algebra
  • Linear Transformation
  • Types Of Matrices, Matrix Properties, And Operations Probability And Calculus

Statistics For Data Science

  • Statistics Introduction
  • Terminologies
  • Inferential Statistics
  • Harnessing Data
  • Exploratory Analysis
  • Distributions
  • Central Limit Theorem
  • Hypothesis Testing
  • Correlation, And Regression

Data Preparation With Pandas

  • Numpy Array Functions
  • Data Munging With Pandas
  • Imputation
  • Outlier Analysis

Visualization With Python

  • Visualization Basics
  • Matplotlib Introduction
  • Basic Plots
  • Customizing Plots
  • Sub-Plots
  • Statistical Plots
  • Seaborn Package Introduction

Machine Learning Associate

  • Machine Learning Introduction
  • Ml Core Concepts
  • Unsupervised And Supervised Learning
  • Clustering With K-Means
  • Linear Regression
  • Logistic Regression
  • K-Nearest Neighbor

Advanced Machine Learning

  • Bayes Theorem
  • Naïve Bayes Algorithm For Text Classification,
  • Decision Tree
  • Ensemble Methods: Random Forest,
  • Extra Trees
  • Svm, Boosting Techniques
  • Xgboost
  • Artificial Neural Network
  • Adv Metrics
  • Imbalanced Dataset
  • Grid Search
  • K-Fold Cross-Validation

Sql For Data Science

  • Relational Database Management Systems Basics
  • Sql Introduction
  • Connection To Sql Databases
  • Fetching Data With Select
  • Where Condition
  • Sql Joins
  • Sql Crud Operations

Deep Learning – Cnn Basics

  • Deep Learning Introduction
  • Tensorflow And Keras
  • Convolution Neural Network Basics
  • End To End Image Classification Of Cats And Dogs Using The Tensorflow-Keras Platform.

Tableau Associate

  • Visual Analytics Basics
  • Tableau Introduction
  • Connecting To Datasource
  • Dimensions Vs Measures
  • Basic Plots
  • Compound Plots
  • Forecasting
  • Publishing

Ml Model Deploy- Flask Api

  • Ml Deployment Strategies
  • Flask Introduction
  • Packing Training Ml Model
  • Deploying It On Flask As Api

Data Science Project Execution

  • Data Science Project Management Method
  • Business Case Risk
  • Limitation Of Machine Learning
  • Project Pitfalls.

Big Data Foundation

Introduction to Big Data

  • Hadoop Concepts
  • Spark Big Data for Data Science Processing
  • Handling Big Data in Machine Learning Pipeline.

Why this course

This course comes as a perfect package of required Data Science skills including programming , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

Certified Data scientist - Course Objectives

After successful completion of this “Certified Data scientist” course, you should have

  • Gained a better knowledge of the entire Data Science project workflow.
  • Understand key concepts of statistics
  • Gained hands-on knowledge of popular Machine learning algorithms
  • In-depth knowledge of Data Mining, Data forecasting, and Data Visualization.
  • Able to create a business case for a Data Science project
  • Deliver end to end data science project to customer

Advantages of learning course

Data science is the hottest field in the market as on today. Be it a small company or an MNC, they need a Data scientist to manage their large pool of data.

  • High demand for data scientists with only a few qualified people to hire
  • High salaries, nearly twice of an average software engineer as per Glassdoor report
  • This course not only designed to enable you for new career opportunities but also allows you to apply the new-age skills in your current work and become valuable in your current role.
  • Be assured that you are entering the future of data science much earlier to grab those wonderful opportunities arising from this biggest need in the business world.

Who should choose Data Science Course?

This course “Certified Data scientist” is not restricted to any specific domain.

  • Fresh Graduates or students from any discipline can choose this course to obtain better job opportunities in this most demanding data science field
  • Working professionals looking to change their domain to the data science field.
  • Highly recommended for those who are aspiring jobs that mainly revolves around data analytics and machine learning
  • Project managers aspiring to switch to manage Data Science projects


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