spinner
Announcement: The Whiteboard has launched *Cyber Security Course* - For more information Call Now | The Whiteboard has partnered with AICerts. | *New Batches* | Registration Started for AI Certification, Python & Data Science Courses | For more information: Contact Our Counselor

📊 What is Data Science?

Data Science is a multidisciplinary field that combines statistics, programming, and domain expertise to extract meaningful insights from structured and unstructured data. It involves the use of machine learning, artificial intelligence (AI), data visualization, and predictive modelling to solve real-world business problems. In simple terms, Data Science helps organizations make data-driven decisions by turning raw data into actionable intelligence.

The scope of Data Science is expanding rapidly across industries. From healthcare and finance to e-commerce, IT, manufacturing, and education, Data Science plays a critical role in transforming operations and driving innovation.

Read More

Tools & Technologies in Data Science

Our data science training institute in Hyderabad gives you hands-on exposure to the tools and technologies that power today’s data-driven world. You’ll work with:

Python

Python

R

R Programming

Hadoop

Hadoop

Spark

Apache Spark

Power BI

Power BI

Tableau

Tableau

SQL

SQL

TensorFlow

TensorFlow

Scikit-Learn

Scikit-Learn

This structured approach ensures you don’t just learn tools, you master how to apply them in real projects.

Why is Data Science Important?

In today’s digital economy, data is often called the “new oil”. With the rise of the internet, social media, IoT, and cloud computing, businesses are generating massive amounts of data every day. Data Science helps unlock the value of this data.

Key reasons why Data Science is important:

  • Better Decision Making - Data-driven strategies reduce guesswork.
  • Competitive Advantage - Companies using Data Science outperform competitors.
  • Personalization - Improves customer experience with tailored products/services.
  • Efficiency & Automation - Saves time, cost, and resources with AI-powered solutions.
  • High Career Opportunities - Data Scientist is among the most in-demand roles globally.

Industry Demand

industry demand

The demand for skilled Data Science professionals is at an all-time high, with companies across the globe seeking experts who can turn data into business value.

Hyderabad, one of India’s leading tech and innovation hubs, has emerged as a hotspot for Data Science and AI-driven careers. With the presence of global IT companies, startups, and R&D centers, Hyderabad is creating thousands of job opportunities in this field every year.

According to industry reports, Data Science roles in India are projected to grow by over 25–30% annually, making it one of the fastest-growing career fields.

Why Choose Our Data Science Training in Hyderabad?

📚

Comprehensive Curriculum

Our data science course offers a curriculum that meets industry expectations without imposing rigid data science eligibility criteria. Whether you’re from IT, business, or even a non-technical background, you can confidently progress toward advanced data science roles.

📊

Hands-on Projects & Real-World Applications

Work with real datasets, apply industry-standard tools, and build projects that showcase your practical expertise.

🧑‍🏫

Experienced Trainers

Learn directly from industry experts with years of experience in AI, machine learning, and big data, ensuring you stay updated with the latest tools and frameworks.

💼

Job-Ready Skills

This data science program prepares you for the workforce with exposure to real-time case studies, internships, and placement support at top organisations.

Course Highlights & Key Learning Modules

Data Science & AI Curriculum

Module 1: Introduction to Data Science and Python
  • Overview of Data Science and its applications.
  • Introduction to Python for Data Science.
  • Installing Python and setting up the environment (Anaconda, Jupyter).
  • Python basics: variables, data types, and operators.
  • Python data structures: lists, tuples, dictionaries, and sets.
  • Functions and Object-Oriented Programming (Classes and Objects).
Module 2: Data Manipulation and Exploration
  • Libraries for Data Science: NumPy, Pandas.
  • Working with NumPy arrays.
  • Data manipulation with Pandas: Series, DataFrames.
  • Handling missing data and data cleaning techniques.
  • Exploratory Data Analysis (EDA) and data visualization with Matplotlib & Seaborn.
  • Identifying patterns and outliers.
Module 3: Statistical Foundations and Probability
  • Descriptive statistics and basic probability concepts.
  • Random variables, distributions, and hypothesis testing.
  • T-tests, chi-square tests, correlation and covariance.
  • Introduction to Bayesian statistics.
Module 4: Machine Learning Fundamentals
  • Introduction to Machine Learning: Supervised vs. Unsupervised Learning.
  • Association Rule Mining (Apriori) and Recommendation Engines.
  • Model evaluation metrics.
  • Supervised Learning Algorithms:
    • Linear regression and Logistic regression
    • Decision trees and Random forests
    • Support Vector Machines (SVM)
  • Unsupervised Learning Algorithms:
    • Clustering (K-means, DBSCAN)
  • Dimensionality reduction (PCA, t-SNE).
Module 5: Deep Learning and Advanced Topics
  • Neural Networks and Deep Learning, Feedforward neural networks.
  • Text Mining basics: TF-IDF, Embeddings.
  • Convolutional Neural Networks (CNNs) for image data.
  • Applications of Deep Learning, Fine-Tuning, and Transfer Learning.
  • Hands-on: Building image classifiers and sequence models with TensorFlow/Keras/PyTorch.
Module 6: Data Engineering and Cloud Deployment
  • Introduction to Big Data concepts and working with PySpark.
  • Cloud computing basics: AWS, Google Cloud, Azure.
  • Model deployment using Flask, FastAPI, or Streamlit.
  • Containerization with Docker.
Module 7: Capstone Project and Advanced Deployment
  • Defining a real-world problem statement.
  • Data collection, cleaning, and preparation.
  • Model building, evaluation, and optimization.
  • Incorporating Generative AI in the solution (RAG implementation).
  • Deployment of end-to-end projects and final presentation.
Bonus 1: Advanced Generative AI
  • Large Language Models (LLMs) in depth.
  • Prompt Engineering techniques and fine-tuning LLMs.
  • Multi-modal Generative AI (text-to-image, speech-to-text, etc.).
  • Ethical and Responsible AI practices.
Bonus 2: MLOps (Machine Learning Operations)
  • Introduction to MLOps lifecycle.
  • Version control for ML models (Git, DVC).
  • CI/CD for Machine Learning, Model monitoring & performance tracking.
  • Scaling ML pipelines with Kubernetes.
Bonus 3: Advanced Data Engineering
  • ETL pipelines for large-scale data.
  • Data Lakes vs. Data Warehouses.
  • Real-time data streaming with Kafka.
  • Data governance & security, building production-grade pipelines.
Bonus 4: AI in DATA Certification Free

Internships & Placement Assistance

Industry-Aligned Internship Experience in Data Science

At The Whiteboard, practical exposure is the key to building a successful career in data science. That’s why our data science training in Hyderabad with placement includes carefully designed internship opportunities with top companies in data science, AI, and machine learning, giving you hands-on experience with real-world challenges.

What Makes Our Internships Valuable?

  • Aligned with Top Industry Standards: Gain exposure to projects that match the expectations of leading IT, pharma, and analytics companies.
  • Hands-On Project Work: Work on real datasets, apply cutting-edge machine learning techniques, and build a portfolio of impactful projects.
  • End-to-End Exposure: Understand the complete data science workflow—from data collection and cleaning to modelling, analysis, and visualization.
  • Simulated Onsite-Offshore Model: Experience real-world problem-solving aligned with the collaborative models of top organisations.
  • Expert Mentorship: Receive continuous guidance and feedback from industry-experienced trainers and mentors.

This immersive, real-world learning approach ensures that every learner develops job-ready confidence and practical expertise.

Dedicated Placement Support

At The Whiteboard, we go beyond training to ensure you build a successful career in Data Science.

Our Placement Support Includes:
  • Resume Building: Create an ATS-friendly resume that highlights your skills, projects, and certifications.
  • Interview Preparation: Mock interviews, technical practice , and soft skills training.
  • Job Placement Assistance: Access to hiring drives, job referrals, and recruiter networks with leading companies in Hyderabad, Bengaluru, Pune, and beyond.

With our end-to-end career support, freshers are placed in roles like Data Scientist, Data Analyst, ML Engineer, and Data Engineer across top tech and analytics firms.

Career Opportunities After the Course:
  • Data Scientist
  • Data Analyst
  • Data Visualisation Specialist
  • DataOps Engineer
  • Business Analyst
  • Machine Learning Engineer
  • AI Researcher
  • NLP Engineer
  • Computer Vision Engineer
  • Data Product Manager

Who Should Enrol?

The primary backgrounds for the target audience of a data science course are computer science, engineering, mathematics, statistics, and business. These fields provide the foundational analytical and technical skills most relevant for learning data science.

Early Stage Graduates

  • Computer Science: Knowledge of programming and algorithms supports data science fundamentals.
  • Engineering: Technical problem-solving and quantitative analysis are crucial for working with data.
  • Mathematics and Statistics: Understanding data, probability, and modeling forms the backbone of analytics and machine learning.
  • Business and Economics: Awareness of real-world problems allows for meaningful data-driven decision-making.

Working Professionals

  • IT and Software Development: Experience in systems, coding, and technology offers a natural transition into data science.
  • Business Analysis and Management: Applying analytical thinking for strategic and operational improvements is central to data roles.
  • Marketing and Sales: Using data for customer insights and market trends benefits professionals exploring analytics.
  • Entrepreneurship: Startup founders leveraging data for innovation and business growth represent an important learner segment.

Prerequisites

To get the most out of The Whiteboard’s Data Science Training in Hyderabad, participants should ideally have:
  • A basic understanding of statistics, mathematics, or programming (beneficial but not mandatory).
  • An eagerness to learn data-driven technologies and analytical tools.
  • Interest in applying data science concepts to solve real-world business challenges.

This program is designed for both beginners looking to start their career in analytics and professionals aiming to upgrade their skills in data science, AI, and machine learning.

Take the Next Step Toward Your Data Science Career

The Whiteboard’s Data Science Training with Placement in Hyderabad is your gateway to a rewarding career in analytics and data-driven industries.

With expert mentorship, hands-on learning, and strong placement support, you’ll gain the skills and confidence to succeed in today’s competitive job market.

Enroll Now and start building your future in data science!


Successful Stories

Eligibility

Candidates from the following background are welcome:

  • Life Sciences (M.Pharmacy, B.Pharmacy, M.Sc.)
  • Statistics (B.Sc., M.Sc.)
  • B.E / B.Tech (Biotechnology, Bioinformatics, Computer Science)
  • MBBS, BDS, BHMS, and BAMS

Any query regarding the course?

Explore Our Courses – Take Charge Of Your Career Now

Career Program

The Whiteboard has developed a host of unique and customized job-oriented courses that help you gain expertise, enhance your credibility as a technical professional

Upskilling Program

Upskilling to emerging technologies has become the need of the hour, with technological changes shaping the career landscape

Get Whiteboard Advantages

1:1 personal mentor

1:1 mentor ratio

live and recorded session

Live and recorded sessions

5 Lakhs min package

5 Lakhs min package

E-Learning material

Access to E-Learning materials

Industry mentors

Industry mentors

guidance support

24x7 guidance support