Course Details

This intensive 3-month Data Analytics bootcamp equips you with the practical skills and knowledge to transform raw data into actionable insights. Through a blend of recorded videos, interactive exercises, case studies, and live sessions, you’ll master industry-relevant tools like Microsoft Excel, SQL, Power BI, and Tableau. By the end, you’ll be confident to analyze data, tell compelling stories, and drive valuable decision-making in any field.

Course Structure:

  • Schedule: Monday-Friday for 3 months
  • Weekly Flow:
    • 3 x Recorded Videos (Mon, Tue, Wed): Learn key concepts and techniques through engaging video lectures with practical demonstrations.
    • 1 x PDF Reading Material (Thurs): Consolidate your learning with a comprehensive summary of the week’s topics, including practice problems and additional resources.
    • 1 x Live Session (Fri): Q&A session with the instructor to address questions, clarify doubts, and receive personalized feedback on your assignments.
    • 1 x Weekly Assignment: Apply your skills to real-world data analysis challenges, building your portfolio and confidence.

Covered Tools and Skills:

  • Microsoft Excel: Data cleaning, manipulation, formulas, data visualization.
  • SQL: Querying databases, extracting and filtering data.
  • Power BI: Creating interactive dashboards and reports.
  • Tableau: Building insightful data visualizations and storytelling.
  • Data Analysis Fundamentals: Data types, statistics, hypothesis testing, data modeling.
  • Problem-Solving Skills: Identifying business questions, defining strategies, drawing conclusions.
  • Communication Skills: Effectively presenting data insights to a variety of audiences.

Course Benefits:

  • Become Job-Ready: Gain the skills and tools sought-after by employers in data-driven fields.
  • Build a Portfolio: Showcase your data analysis projects and expertise to potential employers.
  • Boost Your Career: Advance in your current role or transition to a data-centric career.
  • Network with Peers: Connect with fellow data enthusiasts and build your professional network.
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Date : February 6, 2024 Language : English

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