Get Hired as Data Scientist with the Best Data Science Training Course in Hyderabad

Data Science is essential in today’s age of Big Data, is an optimal mix of Coding, Data Collection, Data Visualisation, Data Management, Statistics, Machine Learning, Operations Research, Critical Thinking, and last but not least, Domain Knowledge. Being an interdisciplinary field, it creates insights and values in ways previously unheard of, for the industry, organizations government and others, thereby providing a competitive advantage.

Course Overview

Data Science has a great influence in Business and Administration right from formulating a strategy to overpowering rival performance. Growth and development in business are possible only through Advanced analytics and superior technology nowadays. It focuses on forecasting future events and behaviours, helping in decision making and predicting risk, which happens through Data extraction and comprehension that revolutionary gains in Organizational performance are successfully implemented.

Course Highlights

Our curriculum for the best Data Science Course in Hyderabad. The Data science participants typically attend courses worth 17 credit points, inclusive of a “Practical project” module and a “Capstone Project”. The courses are designed to offer comprehensive learning and application of Data Science in various domains. A student will master courses like

  • Probability and Statistics using R
  • Python
  • SQL and Introduction to Databases

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  • Data Collection
  • Data Visualisation
  • Text Analytics
  • Big Data Management
  • Statistical Analysis: Estimation and Testing , Regression Modelling, Count Data and Survival Analysis
  • Basics of Simulation
  • Basics of Optimisation
  • Forecasting Analytics
  • Data Mining: Unsupervised Learning & Supervised Learning
  • Deep Learning and IoT Application Modules
  • Marketing Analytics
  • Retail Analytics
  • Pricing Analytics
  • Social Media and Web Analytics
  • Project Modules

  • Practical Projects
  • Capstone
  • Employbility Skills

  • Soft Skill Training
  • Business understanding
  • Business Fundamentals


The programme adopts adult learning pedagogies, with emphasis on action and application, rather than just theory and concepts. The pedagogy involves integrating faculty lectures with case study discussions, simulations, group activities, and other interactive sessions

Enrol Today! 8 Reasons Why We Are The Leading Data Science Training Institute in Hyderabad

Best Training Course

Best Data Science Course in Hyderabad guaranteeing 100% Placement Assistance


Comprehensive and Holistic approach in each subject


Regular Doubt-clarification sessions, Assignments, Free E-book and Materials for all Modules


Back-Up classes for the ones you’ve missed out

Best Opportunities

Free Internship for selected candidates

Best Exposure

Real-Time Project Exposure


Certification after due-completion of course

Upskill & Upgrade

Employability Skills to get ready for corporate challenges

Learn More about the Data Science course

The most comprehensive and detailed Data Science Training course to facilitate your clear understanding. There will be multiple professional trainers, with the requisite expertise on the subject, who will be conducting the sessions. Each module is designed by the experts which are:

  • Well-elaborated
  • Includes minute details aiding ‘Beginner to Expert’ transformation
  • Career & Personal Development oriented approach

Our friendly teachers who are also Industry Commanders provide extensive support for knowledge transfer through application-based pedagogy & real-time projects.

Data Science Masterclass – Level 1

Introduction to Data Science


  • Python Environment Setup and Essentials
  • Python language Basic Constructs
  • OOP concepts in Python and database connection
  • Operators and Keywords for Sequences
  • Working with missing data
  • Python Important Libraries
  • NumPy
  • Pandas
  • SciPy
  • Matplotlib
  • Math
  • Regex
  • Scraping using BS4

Statistics and Probability

  • Basics of Statistics
  • Linear & logistic Regression
  • Probability
  • How to handle missing data

R Programming

  • Basics of R programming
  • Statistics and Probability using R
  • Web scraping
  • Exploratory data analysis using R
  • Data visualization
  • Descriptive statistics using R

SQL & Data Warehousing

  • Introduction to SQL
  • Creating Tables in SQL Databases
  • AND and OR Operators Usage
  • UPDATE Statement & Conditions
  • Schemas : Usage, Creation
  • JOINS - Table Comparisons Queries
  • Stored procedures
  • Using GROUP BY with WHERE, ON
  • Date & Time Styles, Data Formatting
  • Joining 3 and 4 Tables in T-SQL
  • Analytical Functions
  • Exercise with real time data

Introduction to Big Data

  • What is Big Data?
  • Five Vs of Big Data
  • Big Data Architecture & Technologies
  • Big Data Requirements & Challenge
  • Big Data Distributed Computing & Complexity
  • Hadoop
  • Map Reduce Framework
  • Hadoop Ecosystem
  • Apache Spark using Python

Python Important Libraries


  • Introduction to arrays and matrices
  • indexing of array
  • data types
  • broadcasting of array math
  • standard deviation
  • conditional probability
  • correlation and covariance


  • How to build analytical thinking

Visualization & Dashboard

  • Introduction to Data Visualization
  • Theories of Human Perception
  • Basics of Data Visualization
  • Designing your Visualizations
  • Visualization Toolbox
  • Tableau Desktop
  • Data Connections in the Tableau
  • Organizing and Simplifying Data
  • Formatting and Annotations
  • Special Field Types
  • Chart Types
  • Define Advanced Chart Types
  • Calculations
  • Creating and using Parameters
  • Dashboards

Machine Learning & Python

  • Introduction
  • ML Fundamentals
  • Unsupervised Learning
  • Clustering
  • Association Rules
  • Supervised Learning
  • What is supervised Learning
  • Algorithms in Supervised Learning
  • Steps in Supervised learning
  • Regression and Classification
  • Classification
  • Decision Trees and Model Tuning
  • Random Forest and Model Tuning
  • KNN Algorithm
  • Support Vector Machines
  • Basics of Text Mining
  • Basics of Forecasting
  • Basics of optimization

Tensor Flow:

  • Introduction to TensorFlow
  • Tensors
  • Debugging full programs
  • Estimator API
  • Monitoring with TensorBoard

Deep Learning using Tensor Flow and Keras

  • Introduction to deep learning
  • Perceptron
  • Artificial Neural Network and multi layered perceptron
  • Convolution Neural Network (CNN)
  • Recurrent Neural Network (RNN)
  • Tensor Flow codes understanding of different CNN and RNN models
  • Case study: Explanation of Imagenet Model

Case Studies:

  • Case 1 : Unsupervised Model 1 – K mean Clustering
  • Case 2: Unsupervised Model 2 – Parzen Window
  • Case 3: Unsupervised Model 3 -
  • Case 4: Principal Component Analysis
  • Case 5: Recommendation engine
  • Case 6: Supervised Model - Decision Trees
  • Case 7: Supervised Model - KNN
  • Case 8 : Supervised Model - Random Forest
  • Case 9: Support Vector Machines

Data Science Masterclass- Level 2

Data Collection

  • Basis of Data Categorization
  • Types of Data
  • Data Architecture
  • Data Acquisition
  • Data formats
  • Data Quantity
  • Data Quality

Advance Statistics

  • Linear Regression
  • Logistic Regression
  • Count data
  • Survival Analytics

Big Data Management

  • Hive
  • Pig
  • Apache Spark
  • PySpark
  • Spark Core Architecture
  • Spark Internals
  • Spark Streaming
  • Spark GraphX Programming
  • Introducing Mllib

Text Analytics & NLP

  • Text Mining and Analytics
  • Natural Language Processing
  • Sentimental Analysis


  • Introduction to forecasting
  • Components of Time series
  • Smoothing methods
  • Auto regressive model & ETS model
  • ARIMA Model
  • Anomaly detection

Optimization & Simulation:

  • Optimization
  • Linear programming (LP)
  • How to solve optimization problem using Excel
  • Python library- PuLP
  • Simulation

Machine Learning (Algorithm Understanding – Mathematical functions)

  • Flow of Machine learning Model
  • Mathematical explanation
    • Unsupervised learning
    • Supervised learning
  • Feature Selection and Pre-processing
  • Which Algorithms Perform Best
  • Model Selection Cross Validation Score

Advance Deep Learning

  • Understanding of CNN Architecture
  • LSTM
  • Application of CNN, RNN and LSTM
  • Auto encoders
  • Introduction to Advanced model’s for further reading

Business & Process Understanding

  • Connecting Business and Data Science
  • Understanding operation process
  • Business understanding
  • Problem Statement, understanding and Analysis
  • How to scale analytics

Business Use of Machine learning in Analytics

  • Supply chain Analytics
  • Marketing Analytics - RFM (and/or CLV, touch upon conjoint analysis)
  • Social media Analytics
  • Pricing analytics

Image and Video Analytics

  • Feature extraction in Image
  • Imagenet Model detail analysis
  • Face and emotion recognition model
  • Video Analysis

Employability Skill & Interview

  • Mock interviews
  • Group Discussions
  • Practical Examination


I’m a beginner. Is this course suitable for me?

Yes. This is a comprehensive course suitable for beginners. It is two level course, level one is introduction to different subjects and only after passing in level one student can take level two.

Where can I apply Data Science in real-life?

The scope of data science within business is limitless. From Mitigating risk and fraud to Delivering relevant products and tracking customer behaviour, to creating simulation of road traffic and competitors strategies, a skilled Data Scientist can contribute to the success of a business in many ways. Some of the key benefits of using Data Science in businesses are:

  • Enhancing the decision-making process
  • Data-driven decision taking process
  • Better alignment with organization strategy
  • Improving cost efficiency and Increasing revenues
  • Building customer centric prodiucts
  • Responding to user needs for data
  • Improving competitiveness
  • Consolidating organization information and providing single view
  • Breaking silos in organization
  • Harmonizing financial and operational strategy

Who else can join this course?

Any Graduates (Technical, non technical and business field) can enrol for this course. Professionals can also upskill themselves for their career growth and development.

Beginner students aspiring to make it big in the field of Data Science can also enrol for this course.

What are the benefits of taking Data Science training?

Our best Data Science training helps in building a career as a Data Scientist, IT Analyst, Data Consultant, Data Engineer, Business Analyst etc. Learning and successful completion of this course help you to understand the basics, key concepts, applications and more. A Data Scientist is never obsolete and irrelevant. Various companies and corporates who seek growth in business, recruit Data experts to create, develop and manage Advance analytics that focuses on forecasting future events and behaviours bringing revolutionary gains in Organizational performance. With the current demand, high scope, and our best Data Science course in Hyderabad there is great career growth.

Why should I pursue a Data Science Training course from GingerBoard Academy?

GingerBoard Academy is a leading institute that offers training courses in Data Scientist by experts with the sole objective of bridging the gap between the education curriculum and the IT industry.

  • With our best Data Science training course in Hyderabad, excellent teaching methodologies are followed so that students & trainees can attain high-level knowledge on each and every concept of Java.
  • Students & Trainees are guided throughout the training in such a way that they can develop a stand-alone application by the end of the Data Science training course in Hyderabad.
  • Our industry experts deliver experiential training with practical awareness & theoretical understanding.
  • Both offline, as well as online course material covering all the topics, is given to help the trainees learn better. Technical skills flourish through regular assessments and daily assignments.
  • The excellent learning environment, regular assistance, and expert-devised training procedures are the key features of GingerBoard Academy Data Science Training in Hyderabad.
  • Your careers are ever-evolving, therefore it is essential for you to need a learning solution that inspires you to create the future. With our platform, you can always match up your pace, work faster and smarter, and gain in-demand skills with the ever-changing speed & path of technology!

What kind of projects will I be a part of during my course training?

GingerBoard is offering you the most relevant, valuable and industry-oriented projects as part of all its course programs. This enables you to implement the principles and concepts that you’ve acquired in real-world industry setup. All our best training programs come with multiple projects that thoroughly test your skills, boost your learning and practical knowledge thus making you completely industry-ready. You will work on highly exciting projects in the domains of advanced technology, eCommerce, marketing, sales, networking, banking, insurance, etc. Upon successful completion of the projects, you will become a certified professional!

What is importance of Capstone project?

The Capstone Project is an important component of the programme. It offers participants an opportunity to apply their overall course learning to solve real-world business problems. Each participant group is mentored by a faculty member and an industry mentor, to integrate theoretical and practical aspects. Participants have an option to work on a live project from their organisation. Alternatively, the Programme Office allows them to bid for projects that it brings from other organisations.

Is there any placement assistance after I complete my course?

GingerBoard actively provides placement assistance to all learners who have successfully completed the training. We also help you tackle job interviews through mock interviews and résumé preparation part as well.

We are exclusively tied-up with numerous MNCs from around the world where you can be placed with a strengthened authentic profile. We are associated with outstanding organizations among other equally great enterprises.

Do we have demo sessions for the course?

Definitely. We believe that every individual should get accustomed to the GingerBoard way of teaching and training. Demo sessions enable you to make concrete decisions regarding career development.

How to attend the missed sessions?

GingerBoard Academy ensures that every course and industrial training you undergo is seamless and efficient in function. You can inform your trainer priorly about the classes or sessions missed, then apply for back up classes online.

What kind of job opportunities would be available post completion of my certified course?

After you’ve successfully completed the course you will be able to work under the following designations:

  • Data Scientist
  • Big Data Engineer
  • Machine Learning Engineer
  • Business Analyst
  • Analytics Manager
  • Data Analyst
  • Business intelligence Analyst
  • Risearch Analyst
  • Data Architect
  • Data Engineer
  • Business Statistician
  • MIS Reporting Executive

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