Data Analytics Program

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Data Analytics Program

What You’ll Learn

  • Excel Dashboard Project
  • SQL Real-World Data Project
  • Python Industry Analysis Project
  • Analytics Visualization Project
  • Business Intelligence Capstone Project(PowerBI)
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Description

Introduction to Data Analytics
Difference between Data Analytics & Data Science
Industry applications (Mechanical, Civil, Business, etc.)
Basics of Business Analytics
Understanding business problems (case studies from Dataholic)
Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Essential Analytical Tools
Data types, data formats (CSV, Excel, SQL basics)
Introduction to Excel/Google Sheets for data manipulation
Project
Practice project: Cleaning and analyzing a business dataset (sales, mechanical design specs, etc.)

  • Data Exploration Techniques
    Data profiling/summary statistics
    Handling missing/outlier data (basic imputation)
    Visualization & Reporting
    Introduction to Power BI/Tableau
    Professional dashboards for stakeholders (create analytics dashboards for one business domain)
    Business Case Applications
    Analytics in mechanical and civil domains (mini case studies)
    Project
    Team project: Design a report/dashboard for a real Dataholic client dataset (analytics report for mechanical/civil/business process)

  • Statistical Analysis for Business
    Basic statistical concepts (mean, median, mode, correlation, regression)
    Hypothesis testing with real-world business examples
    Data Automation & Scripting
    Automation using Python/SQL/Excel macros
    Applying analytics to automate business reporting (e.g., Python for monthly sales analysis)
    Project
    Implement a basic automation script for a Dataholic analytics workflow (auto-reporting or predictive analytics script)

  • Applied Business Analytics
    Advanced case studies from mechanical design, civil engineering, and consulting
    KPI identification and business process improvement using analytics
    Presentation & Communication Skills
    Building business presentations for clients (Gamma, Canva, PowerPoint skills)
    Interpreting results for non-technical stakeholders
    Capstone Project
    Client-facing analytics project: Students work on an ongoing Dataholic project, preparing analytics reports or dashboards, presenting actionable insights to mentors/company management

  • On completion, you’ll receive the Dataholic Certified Data Analyst credential — showcasing your ability to turn complex data into actionable insights.

Duration & Mode

  • Duration: 4 Months
  • Mode: 100% Online (Live + Recorded Sessions)
  • Average Salary After Completion: ₹7 LPA (based on industry data)

Communication Is Everything

FAQ - Frequently Asked Questions

Got questions? Here are answers to some common queries about learning with Dataholic. If you need further help, our support team is always ready to assist.

We offer a range of programs in data analytics, data science, machine learning, and mechanical design, catering to beginners and advanced learners.

Yes! All our courses are designed for flexible self-paced learning, so you can study whenever and wherever it suits you.

No prior experience is required. Our courses start with foundational concepts and gradually move to advanced topics.

Course content, including videos, quizzes, and projects, is available on our easy-to-use web platform accessible via desktop or mobile browser.

Absolutely. Our support team is available to help with any technical or course-related queries to ensure a smooth learning experience.

We regularly update courses to include the latest industry developments and best practices.

Yes, a certificate of completion is awarded to students who successfully finish their courses.

We offer discounts up to 70% for new learners and flexible payment options to make learning affordable.

Yes, our platform includes forums and Q&A sessions to connect you with instructors and fellow students.

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