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Data Analytics Certification Course in Hyderabad

At WhiteScholars, our Data Analytics program offers top-quality training led by industry experts. With hands-on experience and practical insights, students gain the skills needed to confidently tackle data challenges and succeed in today’s data-driven world.

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Course Highlights

    Awarded by Telangana Higher Education as Emerging EdTech of India

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      Data Analytics 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

      Tableau

      MatPlotLib

      Power BI

      Pandas

      Excel

      SQL

      Jupyter Notebook

      Get Certified

      Get certification after completion
      of your course

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      Get certification after completion
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      Our Data Analytics Projects

      Finance Dashboard (Excel)

      Creating a finance dashboard using Excel in data analytics involves organizing and visualizing financial data to provide clear insights into key metrics such as revenue, expenses, profit margins, and cash flow. By utilizing Excel’s functions, pivot tables, and charting tools, users can build interactive dashboards that offer a comprehensive view of financial performance. These dashboards can display real-time data, track KPIs, and generate customized reports for decision-makers. A well-designed finance dashboard helps businesses monitor trends, identify areas for improvement, and make data-driven financial decisions efficiently.

      Covid Database (Tableau / PowerBI)

      Creating a COVID-19 database dashboard using Tableau or Power BI involves visualizing pandemic-related data to track key metrics such as infection rates, recoveries, deaths, and vaccination progress. By importing data from reliable sources, users can build interactive dashboards that provide real-time updates on global, national, or regional trends. Utilizing the powerful visualization capabilities of Tableau or Power BI, the dashboard can display heat maps, line graphs, and bar charts to help users analyze patterns and correlations, such as the impact of interventions or the spread of variants. These dashboards enable healthcare organizations, governments, and the public to make informed decisions based on the latest data insights.

      Netflix Dashboard (Tableau/ PowerBI)

      Working on a Netflix dashboard using Tableau or Power BI involves visualizing user and content data to track important metrics such as viewership trends, user engagement, popular genres, and content performance. By importing Netflix data, analysts can build interactive dashboards that display key insights using graphs, heatmaps, and trend lines. These visualizations can help identify top-performing shows, regional preferences, and seasonal spikes in viewer activity. Additionally, advanced features like segmentation can provide a breakdown of user demographics and subscription behavior. This dashboard enables Netflix to optimize content recommendations, improve user experience, and make data-driven decisions for content strategy and marketing efforts.

      Airline Data Analysis (Sentiment analysis + Data Mining) – Python

      Airline data analysis using Python, incorporating sentiment analysis and data mining, involves extracting insights from customer feedback and operational data. Sentiment analysis, using libraries like **NLTK** or **TextBlob**, helps in understanding customer emotions, identifying trends in positive, neutral, or negative feedback from sources such as social media, reviews, or surveys. Meanwhile, data mining techniques like clustering, classification, and regression can be applied to operational data to uncover patterns related to flight delays, cancellations, and customer preferences. Together, these analyses provide airlines with actionable insights to improve customer satisfaction, optimize operations, and tailor marketing strategies based on passenger behavior and sentiment.

      Expertise in Data Analytics

      • Data Collection and Acquisition
      • Data Cleaning and Preparation
      • Exploratory Data Analysis (EDA)
      • Statistical Analysis
      • Data Visualization
      • Predictive Analytics
      • Business Intelligence (BI)
      • Data Warehousing
      • SQL and NoSQL Databases
      • Data Mining Techniques
      • Machine Learning Basics
      • Big Data Technologies
      • Reporting and Dashboarding
      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.

      Vedansh S.

      Data Analytics

      Vedansh is a data analyst and data science enthusiast specialising in business analytics and data analytics. With a passion for transforming data into valuable insights, have successfully led and executed 15 diverse projects spanning multiple industries.

      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

      Month On Month Journey

      Step-by-Step Mastery: From Basics To Internship

      Data Interpretation

      1. Introduction to Data Analysis
      2. Foundational Skills
      3. Data Handling and Preparation

      1/2 month

      Data Analysis

      4. Data Collection, Data Cleaning, Data Transformation
      5. Programming for Data Analysis
      6. Data Visualisation Techniques

      1/2 month

      Data Report

      7. Practical Applications and Projects
      8. Case studies in various industries (Hands-on projects)
      9. Professional Development (Building Portfolio and Networking)

      1/2 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.

      Our Data Analytics course spans approximately 2 months, depending on the level and intensity of the program you choose.
      No prior experience is necessary. We offer beginner, intermediate, and advanced levels to suit students at all stages of their learning journey.
      The course covers essential topics like data cleaning, exploratory data analysis (EDA), data visualization, statistics, predictive modeling, and tools such as Python and SQL.
      Yes, our program emphasizes practical, hands-on experience with real-world datasets, so you can apply your learning directly to industry-relevant scenarios.
      Our instructors are seasoned data professionals with extensive industry experience, providing expert guidance throughout the course.
      Upon successful completion, you will receive a certification from WhiteScholars and Microsoft recognizing your skills and proficiency in data analytics.
      Our Data Analytics course equips you with in-demand skills, preparing you for roles in industries like finance, healthcare, marketing, and tech. It enhances your problem-solving capabilities and data-driven decision-making skills.
      Yes, we offer career support, including resume building, interview preparation, and access to job placement opportunities in data-related fields.
      Yes, WhiteScholars offers flexible learning options, including both in-person and online courses to fit your schedule and learning style.
      You can easily enroll through our website by filling out the application form or contacting our admissions team for assistance.
      • Junior Data Analyst: Entry-level role focusing on data collection, cleaning, and basic reporting.
      • Data Analyst: Analyzes complex datasets, provides insights, and creates visualizations for stakeholders.
      • Business Analyst: Focuses on using data to improve business operations and strategies.
      • Marketing Analyst: Specializes in analyzing marketing data to optimize campaigns.
      • Operations Analyst: Uses data to enhance internal processes and efficiencies.
      • Financial Analyst: Analyzes financial data to aid in budgeting, forecasting, and investment decisions.

      Data Analysts are in demand across various sectors, including:

      Finance: For analyzing financial performance and market trends.

      Healthcare: To optimize patient care and manage medical data.

      Marketing: For measuring campaign success and customer behavior.

      Retail: To understand consumer trends and improve supply chain management.

      Technology: For product development and optimizing user experience.

      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.