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Data Science Certification Course in Hyderabad

Launch Your Data Science Career with WhiteScholars and explore expert-led courses designed to equip you with in-demand skills in data analytics, machine learning, and artificial intelligence.

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Course Highlights

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      Data Science Certification Course

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      Program Highlights

      Top Notch Faculty

      Learn from Industry experts who are working as senior data scientists with 12+ years of experience

      Network of 25+ hiring managers

      A network of hiring managers to build strong relationships with companies seeking qualified candidates

      Customized capstone projects

      Allows students to tailor their learning experience to their specific career goals

      Industry focused curriculum

      Industry ready curriculum built in collaboration with hiring manager to fulfill the industry needs

      Our Success Stories

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      Tools You Will Learn

      Python

      Power BI

      Tableau

      Generative Ai

      Machine Learning

      MySQL

      Statistics

      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

      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.

      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.

      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

      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 high-paying tech field that uses statistics, programming languages like Python and R, machine learning, generative AI, and SQL to extract insights and knowledge from data. It involves collecting, cleaning, and analyzing data to identify patterns and make predictions, helping businesses make informed decisions and solve complex problems.
      Python is essential for data science because of its powerful libraries. Whitescholar’s data science course offers Python programming from scratch. All the data science projects offered by Whitescholar are written in Python, as it's highly demanded in the job market.
      Statistics is crucial for data science because it provides the foundation for understanding and interpreting data. It helps in designing experiments, analyzing data distributions, testing hypotheses, and building robust machine learning models, ensuring accurate and reliable predictions.

      Yes, you will receive an IBM certification in the Data Science course if you enroll in Whitescholar’s Data Science course.

      Whitescholar's Data Science course offers the following certifications:

      1. Microsoft Certificate - Data Analyst
      2. Microsoft Azure Data Scientist Certificate
      3. Generative AI - LinkedIn and Microsoft

      Here are the top 10 data science jobs:

      1. Data Scientist
      2. Data Analyst
      3. Machine Learning Engineer
      4. Data Engineer
      5. Business Intelligence (BI) Analyst
      6. Quantitative Analyst (Quant)
      7. Data Architect
      8. Big Data Engineer
      9. Data Science Consultant
      10. AI Research Scientist
      11. Data Science Manager

      These are the salary ranges for various data science roles:

      1. Data Scientist: ₹8,00,000 - ₹20,00,000 per year
      2. Data Analyst: ₹4,00,000 - ₹10,00,000 per year
      3. Machine Learning Engineer: ₹10,00,000 - ₹25,00,000 per year
      4. Data Engineer: ₹8,00,000 - ₹20,00,000 per year
      5. Business Intelligence (BI) Analyst: ₹6,00,000 - ₹15,00,000 per year
      6. Quantitative Analyst (Quant): ₹10,00,000 - ₹25,00,000 per year
      7. Data Architect: ₹12,00,000 - ₹30,00,000 per year
      8. Big Data Engineer: ₹10,00,000 - ₹22,00,000 per year
      9. Data Science Consultant: ₹12,00,000 - ₹30,00,000 per year
      10. AI Research Scientist: ₹12,00,000 - ₹30,00,000 per year
      11. Data Science Manager: ₹15,00,000 - ₹35,00,000 per year

      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.