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Advance Data Science Certification Course in India

Join the top-rated Data Science Certification Course in India by WhiteScholars. Learn Python, SQL, Power BI, and ML from experts. Online & offline options. 100% job assistance

In association with:
Guaranteed Internship with:
accenture

Course Highlights

    Awarded by Telangana Higher Education as Emerging EdTech of India

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      Data Science Certification Course

      Our Alumni Works At

      Program Highlights

      Top Notch Faculty

      Learn from top industry experts and certified data science trainers who are working as senior data scientists with 12+ years of real-world experience in data analytics, machine learning, and AI.

      Network of 25+ hiring managers

      Gain exclusive access to a strong network of 25+ hiring managers across top companies, helping you connect directly with decision-makers actively looking for skilled data science and analytics professionals.

      Customized capstone projects

      Work on hands-on data science projects tailored to your career goals. These real-world capstone projects help you apply key concepts in data analytics, Python, machine learning, and more building a strong portfolio.

      Industry focused curriculum

      Our industry-ready data science curriculum is designed in collaboration with hiring managers and data experts to match current job market demands. It includes practical training in Python, SQL, data analytics, and machine learning.

      Our Success Stories

      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

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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 a fast-growing field that combines statistics, programming, machine learning, and data analysis to extract meaningful insights from structured and unstructured data. It helps businesses make data-driven decisions using tools like Python, SQL, and data visualization techniques. Today, it's one of the most in-demand skills in fields like AI, data analytics, and business intelligence.

      Learning Data Science opens the door to a high-paying, future-proof career in top industries like IT, finance, e-commerce, and healthcare. It’s one of the most in-demand skills globally, offering roles such as data analyst, data scientist, machine learning engineer, and more. With the rise of big data and AI, companies are actively hiring professionals who can work with Python, SQL, Excel, and data visualization tools to solve real-world problems.

      Anyone with a passion for working with data can learn Data Science—whether you're from an IT, engineering, finance, business, or even non-technical background. With a basic understanding of statistics and programming (like Python or R), you can start learning data science through beginner-friendly courses. Many professionals switch careers into data analytics, AI, and machine learning without having prior coding experience.

      To start a Data Science course, it's helpful to have a basic understanding of statistics, probability, and programming. Familiarity with languages like Python or R, as well as basic Excel and SQL skills, can give you a head start. However, many beginner-friendly data science programs are designed to help you learn these concepts from scratch—making it accessible even for students and professionals from non-technical backgrounds.

      The duration of a Data Science course usually ranges from 3 to 6 months, depending on the course structure, learning pace, and delivery mode. At WhiteScholars, we offer both fast-track and weekend batch options to suit working professionals and students. Whether you're taking an online or offline data science program, our flexible curriculum ensures in-depth training in tools like Python, SQL, Excel, and machine learning within a short time frame.

      Data Science courses are available in both online and offline formats, giving you the flexibility to learn at your convenience. At WhiteScholars, we offer live instructor-led online classes, weekend offline sessions, and even hybrid models to suit working professionals, students, and career switchers. Whether you're looking for a data science certification course online or a classroom experience, we’ve got you covered.

      The Data Science course fee in India varies based on the institute, curriculum, and mode of learning. Factors like course duration, certification level, and industry-aligned training can influence the cost. To get the most accurate and up-to-date details, we recommend contacting the respective training provider directly.

      Upon successful completion, learners receive an industry-recognized Data Science certification. This certificate validates your skills in data analytics, machine learning, and Python programming, boosting your chances of landing roles in top companies across India.

      A Data Science course covers core topics like statistical analysis, Python for data science, machine learning, data visualization tools (like Power BI & Tableau), SQL for data analytics, and big data technologies like Hadoop and Spark.

      After completing a Data Science course, you’ll gain hands-on experience with Python, data cleaning techniques, data preprocessing in machine learning, real-time data analysis, building predictive models, and model deployment using tools like Flask or Streamlit. These data science skills prepare you for real-world projects and job roles.

      Our Data Science course trainers are experienced industry professionals who have worked on real-time data science projects across domains like IT, healthcare, and finance. These certified data science mentors bring practical insights and provide personalized guidance to help students become job-ready data analysts and data scientists.

      We maintain a low student-to-mentor ratio in our data science classes to ensure every learner receives individual attention and mentorship. This helps students engage more effectively in hands-on data science training, clear doubts instantly, and stay focused on their career goals in data analytics.

      Yes, we offer regular doubt-clearing sessions, live mentor support, and access to an online data science community. Students can ask questions, interact with industry experts, and get guidance through discussion forums, ensuring continuous learning and support throughout the data science course.

      Yes, you will get lifetime access to the Data Science course materials, including recorded video lectures, downloadable resources, assignments, and practice datasets. This allows you to revisit concepts anytime and keep learning at your own pace, even after completing the Data Science training in India.

      You can find the best Data Science course in India at WhiteScholars Academy, one of the country’s top-rated institutes for data analytics and machine learning training. We offer online and offline data science programs with hands-on projects, personalized mentorship, and job assistance. Whether you're in Hyderabad, Bangalore, Delhi, or any other city, our courses are designed to help learners across India build real-world skills and launch successful careers in Data Science.

      To learn Data Science effectively, combine theoretical concepts with hands-on practice using real-world datasets and tools like Python, SQL, Power BI, and machine learning algorithms. Enroll in a structured Data Science course that includes live projects, regular mentor support, and access to updated learning resources. Staying consistent, exploring case studies, and participating in data science communities will help reinforce your learning and boost your career growth.

      After completing a Data Science course in India, you can unlock a wide range of high-demand job roles across industries like IT, healthcare, finance, e-commerce, and more. Common career paths include Data Scientist, Data Analyst, Business Intelligence Analyst, Machine Learning Engineer, and AI Specialist. With skills in tools like Python, SQL, Excel, and Power BI, you'll be equipped to land top data-driven roles in leading companies.

      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.