1. Home
  2. »
  3. Data Science

Awarded by Telangana Higher Education

as Emerging EdTech of India

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

Untitled design (1) (2)
feb3818b-8df2-407f-bd0e-7dfdc90a92fc
Untitled (112 x 40 px) (224 x 80 px) (110 x 80 px) (2)
Talk to Advisor
Download Brochure

Key-Highlights

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

Exclusive batches for beginners

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

1:1 Interactions with mentors to track progress

Guest Lectures with Industry leaders from Microsoft & IIM Faculty

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

Tools Covered

Tool 1
Tool 2
Tool 3
Tool 4
Tool 5
Tool 6
Tool 7
Tool 8
Tool 9
Tool 12
Tool 13
Tool 14
Tool 15
Tool 18
Tool 19
Tool 20
Tool 21
Tool 10

Know Your Mentors

Swapnil

Sr. Data Analyst

20 Years Experience

Vishnu Murthy

Principal Data Analyst

20 Years Experience

Satya Kumar Palli

Sr. Data Scientist

12 Years Experience

Satish

Sr. Data Scientist

5 Years Experience

Program Highlights

Master Voices

Dive deep into the exciting realm of Data Analytics with top Data Analysts from Amazon, KPMG, Microsoft & various leading MNCs. These sessions offer a unique blend of fun and functional learning, ensuring you grasp complex data concepts in an engaging environment.

  • Learn directly from maestros in the field who bring their real-world experiences into live sessions.
  • These sessions are designed to keep you active in learning through hands-on activities and lively discussions.
courses-highlight-images

Jam Sesh

Drop into our jam sessions where creativity explodes and learning turns lit. It’s all about working on real-world datasets while building domain knowledge.

  • Explore collaborative sessions focusing on applying data analytics in practical settings. 
  • Get the opportunity to work on real datasets with peers, enhancing both learning and domain expertise.
courses-highlight-images

Ultimate Capstone Showdown

Test your data analytics skills in our Mega Capstone Challenge, where theory and practice collide. This rigorous challenge requires you to solve actual industry problems, applying everything you've learned in a practical, impactful way.

  • Tackle genuine problems that data analysts face in the industry today with real-world applications.
  • Achieve a 70% or higher score to open the door to our comprehensive 7-day job readiness program, fine-tuning your skills for the professional world.
courses-highlight-images

On-the-Go Data Capsules

Perfect for the busy learner, our on-the-go data capsules let you enhance your data skills at your pace, anywhere. These compact video tutorials enable continuous learning without disrupting your schedule.

  • Flexible learning includes short, practical video tutorials that fit your busy lifestyle.
  • Each capsule is crafted to provide actionable insights and skills you can immediately apply to your data projects.
courses-highlight-images

Our Success Stories

Copy of Placement Template (2)
Copy of Placement Template (1)
Placement Template
Copy of Placement Template

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

RE1Mu3b (1)

Get certification after completion of your course

leapFrontLogo-p-500

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.