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Data Science & Gen AI Certification Course with Placement Assistance check icon Job Ready Course
Data Science & Gen AI Certification Course with Placement Assistance check icon Job Ready Course

The best institute to kickstart your career as a Data scientist, learn Machine Learning, Gen AI, Tableau, and SQL, and enter the world of Data-Driven Decisions.

  • Mode: Offline | Online | Live Recorded Sessions
  • Guaranteed virtual internships with Accenture & PWC
  • Certificates from Nasscom and Microsoft
  • 7+ Real Time projects
  • Guaranteed Interview Opportunities**

In Collaboration With

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Key-Highlights

Hybrid Mode of learning (Online, Offline and access to live recorded sessions)

Guest Lectures with Industry leaders from Microsoft & IIM Faculty

10+ Capstone Projects + 1 Individual end-to-end Project

1:1 Interactions with mentors to track progress

Exclusive batches for beginners

Exclusive Community access

Corporate Readiness Program

Profile & Resume building sessions

Accreditations and Certification

Course Overview

In this Data Science Certification course, we will provide the skills you need to enhance your career in data science and prepare to become the best in the evolving field.
So by the end of the course, you will have gained industry-relevant skills in Python, SQL, Machine learning and NLP, Generative AI, Tableau, and Power BI.

The topics covered in this Data Science program and the modules you will learn are

  • Module 1 – Python Fundamentals and Oops Concept 
  • Module 2 – Data Handling with Pandas APIs and Web Services
  • Module 3 – Complete Data Visualization and Advanced Data Analysis
  • Module 4  – Advanced Data Handling with Pandas and  Web Scraping
  • Module 5 – Statistics with Probability Distributions and Inference
  • Module 6 –  Advanced Machine Learning with Supervised /Unsupervised learning
  • Module 7 – Natural Language Processing (NLP) with Model Deployment and Productionization
  • Module 8 – Deep Learning Foundations with Training Techniques
  • Module 9 – Generative AI and Tableau
  • Module 10 – Advanced SQL with Power BI
  • Module 11 – Integration with Other Tools
  • Module 12 – Best Practices and Case Studies
  • Module 13 – Advanced Neural Network Architectures and Attention Mechanisms
  • Python For Data Science: Enhance skills like Advanced Python Programming  and Control Flow, Data Structures, Variables and Data Types, and OOPs and Pandas and learn Web Scraping
  • Statistics: To become a great data scientist, you need to master the mathematics and statistics in Probability Distributions
  • MLOps: By the end of this Data Science program, you will you will have hands-on experience in machine learning with 
  • Generative AI: Generative AI and learn to build models that create text, images, and music and build next-generation AI applications
  • Power BI: You can Master Power BI, Microsoft’s widely used data visualization tool. Learn to create interactive dashboards and management reports.
  • SQL: By the end of the course, you will learn to do querying databases and Data extraction and manipulation
  • Tableau: The leading data visualization tool that creates interactive dashboards
Data scientists are in high demand because industries can’t move forward without analyzing the data and extracting its insights. Since the rise of AI and machine learning, everything has been compiled into data. So, without data scientists, industries can’t move forward and make big decisions. That’s why data scientists are important in industries. They ensure that decisions are made properly by ensuring that we get the data and analyze it.
  • Data Collection & Cleaning: Gather data from various sources, do the web scraping, and ensure data quality and integrity
  • Exploratory Data Analysis (EDA): Understand the data distribution with summary statistics and use visualizations to identify patterns and trends
  • Testing & Validation: Split data into training and test sets and apply statistical and prevent overfitting
  • Model Deployment: Train machine learning models and use APIs, cloud platforms, or local servers.
  • Data Visualization & Reporting: Create dashboards with tools like Tableau, Power BI
  • Code Review & Documentation: keep clean, well-commented code Document assumptions and findings.
  • Experimentation: Test different models with A/B testing

Tools Covered

Know Your Mentors

Swapnil

Sr. Data Analyst

20 Years Experience

Vishnu Murthy

Sr. Data Analyst

20 Years Experience

Satya Kumar

Sr. Data Scientist

12 Years Experience

Satish

Sr. Data Scientist

5 Years Experience

Program Highlights

Industry Leading Mentors

  • Step into the world of Data Science with top experts from leading Industries
  • Our Sessions offer unique blend of interactive and fun sessions ensuring even the toughest data concepts to be taught in a simple and engaging way.
  • Learn directly from the masters who can share their real world experience and guide you through hands on activities and group discussions
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Network of 25+ hiring managers

  • Gain community access to 25+ Hiring managers from top tech companies.
  • Our strong industry connections open doors to various job opportunities, interviews and referrals.
  • We just don't teach, we connect you with the right people to land you your dream role. With Whitescholars, you are always one step ahead of getting hired.
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Industry Focussed Curriculum

  • Our Data Science course curriculum is designed in collaboration with Industry experts to match the real world job requirements.
  • Focussed majorly on practical approach of learning so you learn what companies are looking for.
  • From Python to SQL and Machine learning and PowerBI, the course is aligned with industry needs and trends.
  • You will work on live projects , case studies, industry relevant projects that prepare you for real world challenges
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Projects covered in the program

  • 1. Developing personalized recommendation systems:
    • Understanding Netflix Recommendation Engine
    • Swiggy’s dish recommendations
  • 2. Diagnosing diseases through MRI scan analysis of body organs.
  • 3. Creating a Conversational AI bots to enhance customer interactions and satisfaction.
  • 4. Predicting the likelihood of fraudulent insurance claims.
  • Classifying product reviews on e-commerce platforms.
  • 5. Building AI based Smart Search applications
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360 Degree Career Assistance

Resume optimization : Get resume tips and upgrade it to make it more professional and impressive so it stands out to recruiters correctly.
Portfolio Building : Get guidance to build a strong portfolio that shows your skills, real-time projects, and achievements in a professional way.
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Get help to optimize your LinkedIn profile and make it look more professional and impressive to grab recruiters' attention, boosting your visibility, helping more people to connect, and grow your professional network.
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Our CRP modules are designed to help and guide you to improve your verbal communication skills to present your idea, confidently and professionally.
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Get interview tips and get prepared with mock interview sessions that help you boost confidence. Receive personalised feedback to improve your performance.
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Curriculum and modules

Introduction to Programming and Python
  • What is programming?
  • History of Python
  • Setting up the development environment
  • IDLE
  • Jupyter Notebook
  • VS Code
  • Writing and running your first Python program
Basic Syntax

Comments
Indentation
Printing to the console

Variables and Data Types

Numbers (integers, floats)
Strings
Booleans

Basic Operators

Numbers (integers, floats)
Strings
Booleans

Control Flow

Conditional statements (if, elif, else)
Loops (for loops, while loops)
Break, continue, and pass statements.

Functions

Defining and calling functions: Function arguments and return values
Scope and lifetime of variables in Lambda functions

Data Structures: Lists

Creating and accessing tuples
Tuple methods
Creating and accessing sets
Set operations
union
intersection
Difference

Data Structures: Tuples and Sets

Creating and accessing tuples
Tuple methods
Creating and accessing sets
Set operations
union
intersection
Difference

Data Structures: Dictionaries

Creating, accessing, and modifying dictionaries: Dictionary methods.
keys
values
items
get
pop
update

Working with Strings

String operations
concatenation
slicing
formatting
String methods
 find
replace
split
join
lower
upper
Strip

File Handling

Reading from files
Writing to files
Working with CSV files using the csv module

Modules and Packages

Importing modules
Standard library overview
math
datetime
random
Installing and using third-party packages (pip)

Error Handling

Understanding exceptions 
Try, except, else, finally blocks
Raising exceptions

Object-Oriented Programming (OOP)

Classes and objects
Attributes and methods
Inheritance
Polymorphism

Comprehensions

List comprehensions
Dictionary comprehensions
Set comprehensions

Decorators and Generators

Understanding and using decorators
Creating and using generators

Regular Expressions

Introduction to regular expressions
Using the re module for pattern matching

Advanced Data Handling with Pandas

Introduction to Pandas
DataFrames and Series
Reading from and writing to different file formats
CSV
Excel

JSON
Data cleaning and manipulation

Data Visualization

Introduction to Matplotlib and Seaborn
Plotting graphs and charts
Customizing plots

Web Scraping

Introduction to web scraping
Using BeautifulSoup and requests
Handling web scraping challenges
pagination
dynamic content

APIs and Web Services

Understanding APIs
Making HTTP requests using requests
Parsing JSON data

Working with Databases
Introduction to SQL and databases Using SQLite with Python Performing a CRUD operation
Concurrency and Parallelism
Understanding concurrency vs. parallelism Using the threading and multiprocessing modules
Testing and Debugging

Writing unit tests with unittest and pytest
Debugging techniques and tools

Advanced OOP Concepts

Abstract classes and interfaces
Design patterns
Metaclasses

Abstract classes and interfaces

Design patterns
Metaclasses

Advanced Python Libraries
Introduction to NumPy for numerical computing SciPy for scientific computing Exploring additional libraries as per interest TensorFlow for machine learning

Our Success Stories

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Placement Template
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Tools You Will Learn

Python

Python

PowerBi

Power BI

Tableau

Tableau

Generative AI

Generative Ai

Machine Learning

Machine Learning

MySQL

MySQL

Statistics

Statistics

Large Language Model

Large Language Model

Get Certified

Get certification after completion
of your course

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Get certification after completion of your course

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Get certification after completion
of your internship with us

Our Data Science Projects

Benz

Get Hands-On

Swift Testing Through Machine Learning
Mercedes-Benz leverages machine learning (ML) to enhance and accelerate the testing process of its vehicles, ensuring superior quality and performance. By using advanced ML algorithms, the company can predict potential issues, optimize testing procedures, and analyze vast amounts of data from simulations and real-world driving conditions. This approach not only reduces the time required for testing but also improves the accuracy of identifying problems, enabling faster iterations and innovations in vehicle development. As a result, Mercedes-Benz can deliver safer, more efficient, and reliable cars to the market more swiftly.
Microsoft

Machine Learning

Malware Prediction Through Machine Learning
Predicting server malware infections using machine learning on Microsoft servers data involves analyzing vast datasets to detect patterns indicative of malicious activity. By applying machine learning algorithms, the system can identify abnormal behavior, such as unusual traffic patterns, file access, or process anomalies, which may signal potential malware infections. Microsoft’s servers generate a massive amount of data, which machine learning models can process and learn from to predict future infections before they cause damage. This predictive approach enhances security, allowing for proactive defense measures, minimizing downtime, and protecting critical infrastructure from cyber threats.
Swiggy

Capstone Projects

Swiggy’s Restaurant Recommendation

Developing a restaurant recommendation system like Swiggy using data science techniques involves creating an intelligent platform that personalizes dining choices for users. This system utilizes data science models such as collaborative filtering, content-based filtering, and machine learning algorithms to analyze user preferences, browsing history, location, and restaurant attributes (cuisine, ratings, price range). The front-end presents recommendations in an intuitive interface, while the back-end processes vast amounts of user and restaurant data in real-time. By leveraging techniques like natural language processing (NLP) for reviews and sentiment analysis, the system can provide personalized, accurate restaurant suggestions, enhancing the user experience with tailored food recommendations.

Medical Imaging Project

Medical Imaging Project

Early Disease Detection through Advanced Imaging Techniques
Early disease detection through advanced imaging techniques harnesses cutting-edge technologies like MRI, CT scans, and AI-driven imaging to identify medical conditions in their initial stages. These techniques allow for high-resolution, detailed views of internal organs, tissues, and structures, often detecting abnormalities before symptoms appear. With the integration of machine learning and AI, imaging systems can analyze patterns and subtle changes in medical images that may indicate early signs of diseases such as cancer, cardiovascular issues, or neurological disorders. This proactive approach leads to timely interventions, improving patient outcomes and reducing long-term healthcare costs.

Expertise in Data Science

  • Statistics and Probability
  • Machine Learning
  • Programming Languages
  • Data Wrangling
  • Data Visualization
  • Big Data Tools
  • Database Management
  • Model Evaluation and Tuning
  • Natural Language Processing (NLP)
  • Business Intelligence
  • Ethics and Bias in AI
  • Communication Skills
  • Data Science Tools
Our Team: Dedicated to Your Success

Dedicated trainers committed to your success, offering exceptional knowledge and personalized guidance. From mastering skills to acing interviews, they are with you every step of the way, ensuring career growth.

Srikanth Burgula

Digital Marketing

With over 13 years of experience as a seasoned Marketing Technology professional, Srikanth specializes in crafting effective go-to-market strategies across diverse industries.

Rohitha Reddy

Digital Marketing

Rohitha's 8+ years of experience in marketing technology have equipped her with exceptional skills in customer acquisition, brand development, and market strategy

Manohar M

Senior Data Scientist

With a wealth of experience in data science, Manohar M. specializes in turning complex data into actionable insights. His expertise spans machine learning, predictive analytics, and big data technologies. We are thrilled to have Manohar lead our students toward data-driven success.

Month On Month Journey

Step-by-Step Mastery: From Basics To Internship

Basics of Mathematics & Statistics

  • Descriptive Statistics
  • Introduction to Probability
  • Inferential Integrity
  • Linear Algebra
  • Exploratory Data Analysis & Data Visualization

Month 1

Python Programming

  • Python Language
  • Intro to Python for data science team feature selection
  • Inferential Integrity
  • Learn about numpy, pandas, torchvision

Month 2

Basic & Advanced Ml tools

  • Decision trees and random forest test
  • Clustering
  • Support vector machines
  • Dimensionally reduction

Month 3

Building your profile

  • Github profile building
  • Practice via competitions like Analytics Vidhya, Kaggle, Datahack
  • Discussion forum - Kaggle discussion

Month 4

Apply for job and internship

  • Identify the right jobs and apply on Naukri/LinkedIn
  • Analytics Vidhya | DataJobs
  • Kaggle job portal
  • Internshala
  • Indeed.co

Final Month

We've got answers

Frequently asked questions

Quick answers to questions you may have. Make an informed decision before embarking on your learning journey.

Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
Data Science is a high-demand skill with immense career opportunities. By learning Data Science, you can work in various industries like IT, finance, healthcare, and more.
Anyone with a passion for data and a basic understanding of statistics and programming can learn Data Science. It's suitable for professionals from diverse backgrounds, including IT, engineering, finance, and business.
A basic understanding of statistics, probability, and programming languages like Python or R is recommended.
The duration of a Data Science course can vary depending on the intensity and curriculum. Typically, it ranges from 3 to 6 months.
Data Science courses are offered in both online and offline formats. You can choose the mode that best suits your learning style and schedule.
The fee for a Data Science course in Hyderabad can vary depending on the institute and the specific program. Please contact us for detailed pricing information.
Upon successful completion of the course, you will receive a recognized certification in Data Science.
A Data Science course covers a wide range of topics, including statistical analysis, machine learning, data mining, data visualization, and big data technologies.
You will gain hands-on experience in data cleaning, data preprocessing, data analysis, model building, and model deployment.
Yes, the course includes practical exercises, lab sessions, and real-world projects to enhance your learning.
Our instructors are highly experienced Data Science professionals with extensive industry knowledge.
We maintain a low student-to-instructor ratio to ensure personalized attention and support.
Yes, we provide regular doubt-clearing sessions and online forums for students to interact with instructors and peers.
Yes, you will have lifetime access to course materials, including recorded lectures, slides, and practice exercises.
Whitescholars Academy is one of the leading institutes offering top-notch data science courses in Hyderabad.
Yes, Whitescholars Academy has a center in Kukatpally, making it convenient for learners in the area to attend data science courses.
The fee for a data science course in Kukatpally can vary depending on the specific program and duration. Please contact us for detailed pricing information.
To learn data science effectively, you need a combination of theoretical knowledge and practical experience. Consistent practice, working on real-world projects, and staying updated with the latest trends are crucial.
Data Science professionals are in high demand across various industries. After completing a data science course, you can explore job roles such as Data Scientist, Data Analyst, Machine Learning Engineer, and more.

Ready to Start Your Journey?

Don't miss out on the opportunity to transform your career. Join Whitescholars and gain the skills you need to succeed in the tech industry.