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Introduction to Data Analytics

Track Course
Intermediate
Fully Ready

About the Course

This course introduces data analytics by exploring analyst roles, the learning path, and core BI concepts. It also provides setup guidance to help learners get started with essential tools. By the end, participants will be equipped to continue their data analytics journey confidently.

Learning Outcomes

By the end of this course, participants will be able to:

  • Understand the role of data and business intelligence (BI) analysts
  • Identify key stages in the data analytics learning path
  • Recognize core concepts in data and business intelligence
  • Become familiar with widely used tools: Excel, Tableau, Power BI, SQL and Python
  • Understand the steps to install and configure essential analytics tools

Curriculum

  • Chapter 1: Introduction to Data Analytics

    Overview:

    In this chapter, participants will gain a foundational understanding of data analytics as a profession. They will explore the roles and responsibilities of Data and BI Analysts, become familiar with key tools in the field, and understand the overall learning path they will follow throughout the course.

    Topics to Cover:

    • Daily responsibilities of Data and BI Analysts
    • Common tools used in analytics (Excel, Tableau, Power BI, SQL, etc.)
    • Overview of the data analytics learning journey
  • Chapter 2: Introduction to Data & Exercises

    Overview:

    In this chapter, participants will be introduced to the concept of data, its importance in decision-making, and its role in today’s business world. Learners will reinforce their understanding through interactive quizzes designed to test their knowledge.

    Topics to Cover:

    • Defining what data is and why it matters
    • Applying concepts through seven warm-up quizzes
  • Chapter 3: Installing Essential Software

    Overview:

    In this chapter, participants will set up the software required for hands-on practice throughout the course. They will install tools such as Excel, Tableau, and Power BI, ensuring successful configuration on both Windows and macOS environments.

    Topics to Cover:

    • Installing essential analytics software (Windows/macOS)
    • Verifying successful installation
  • Chapter 4: Student Project Showcase – Excel

    Overview:

    In this chapter, participants will explore real student projects showcasing the power of Excel in data analytics. They will learn data cleaning, analysis, and visualization techniques while applying Excel functions to solve business problems.

    Topics to Cover:

    • Reviewing student-created Excel dashboards and reports
    • Demonstrating data cleaning and transformation techniques
    • Applying Excel functions for analysis
    • Creating visualizations to communicate insights
  • Chapter 5: Student Project Showcase – Tableau

    Overview:

    In this chapter, participants will explore student-developed interactive dashboards in Tableau. They will practice data storytelling, geospatial analysis, and advanced visualization techniques to create compelling narratives with data.

    Topics to Cover:

    • Showcasing student Tableau dashboards
    • Exploring interactive visualizations and storytelling
    • Applying geospatial analysis in Tableau
    • Using Tableau’s advanced visual and analytical features
  • Chapter 6: Student Project Showcase – Power BI

    Overview:

    In this chapter, participants will learn how Power BI is used to transform data into actionable business insights. By exploring student projects, they will understand data modeling, DAX calculations, and interactivity within dashboards.

    Topics to Cover:

    • Reviewing student Power BI projects
    • Understanding data modeling and relationships
    • Applying DAX calculations for advanced insights
    • Creating interactive dashboards to solve analytical problems
  • Chapter 7: Student Project Showcase – Data Analytics Across Industries

    Overview:

    In this chapter, participants will see how analytics skills apply across industries. Through student projects, they will explore integrated solutions using Excel, Tableau, and Power BI, while sharpening their critical thinking and communication skills.

    Topics to Cover:

    • Highlighting cross-industry student projects
    • Integrating multiple tools for end-to-end analytics solutions
    • Applying critical thinking to data-driven problem solving
    • Communicating insights effectively

Tools

Excel
Tableau
Power BI
SQL
Python
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STUDENT REVIEWS

What our graduates are saying

I had an incredible experience at this data science bootcamp! Coming in with no prior knowledge, I was amazed at how quickly I gained a solid understanding of the field. The curriculum is intensive and hands-on, allowing me to learn real, applicable skills through working on real client projects. The staff are exceptionally supportive and always ready to help. This bootcamp truly transformed my career path, and I couldn’t be more grateful for the knowledge and confidence I’ve gained. Highly recommended for anyone looking to break into data science!

My experience was awesome. I was taught by professional data engineers who shared their insights based on their professional experience. The topics covered are relevant to what employers are looking for and I enjoyed hands-on projects. I learned all the skills I needed to be a data engineer and I got a full-time offer as a data engineer, thanks to the mentors from WecloudData. I highly recommend this program. I was able to land interviews at Amazon, Yelp, CI Financial e.t.c

Deciding to go with WeCloudData was one of the best decisions I made during my career switch. Their Bootcamps are intense but they get you where you need to go. The instructors are amazing and the TAs very knowledgeable. Their client projects taught me a lot even after the bootcamp was done. I was able to land my current job thanks to the skills and training from the course.

I had the pleasure of attending WeCloudData’s Data Fundamentals bootcamp, which was fantastic. The highly qualified instructors used cutting-edge teaching techniques that greatly facilitated understanding the logic of coding and programming. They carefully progressed us from fundamental to more complex subjects, avoiding any feeling of overload. I wholeheartedly endorse this course for anyone hoping to become a data analyst—it’stheonly one you’ll need. The teachers are very outstanding!

This bootcamp provided me with the necessary technical skills and industry knowledge to secure a data job. The instructors are knowledgeable and shared everything they know to help me achieve my goals. The TAs are resourceful and patient answering my questions. The projects in the bootcamp enhanced my knowledge and impressed interviews. This is a wonderful bootcamp if you are looking to either imporve your skills or switch career!

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Common Questions

Find answers to your questions about the Learning Track
  • Standard Courses: Focused, short courses that build foundational or intermediate skills through hands-on exercises, enabling you to apply what you learn immediately.
  • Track Courses: Structured learning paths that guide you from beginner to advanced levels. They include practical projects that integrate multiple tools and workflows, aligned with industry best practices, helping you gain the skills and confidence to tackle real-world challenges.

No. Track Courses are only accessible through the Professional or Unlimited+ subscription plans.

  • Standard Plan gives you access to all Standard Courses.
  • Professional Plan gives you access to both Standard and Track Courses within your chosen domain.
  • Unlimited+ Plan provides full access to all courses — both Standard and Track — across all domains.

 

Yes, all courses are designed to be self-paced. Learn when it fits your schedule.

Each course includes prerequisites if needed. Many Standard Courses are beginner-friendly.

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