Excel Mastery for Data Science

This hands-on course equips learners with advanced Excel skills essential for data science workflows. Covering data organization, formulas, visualization, and analytics tools like PivotTables and Power Query, the course prepares students to clean, explore, and analyze data efficiently in Excel, without requiring prior programming knowledge.

Created by

Olivia Nakacwa

    • (1 Reviews)

0 Hours

0 Enrolled

English

Last updated

Thu, 12-Jun-2025

Course description

Excel remains one of the most powerful and widely-used tools for data analysis across industries. You can might be from the finance, healthcare, research, business intelligence, or early-stage data science. Mastering Excel is a critical step in becoming a confident and capable data professional.

Excel Mastery for Data Science is a comprehensive, beginner-to-advanced level course designed to transform learners into Excel power users with a sharp focus on practical data science applications. You’ll go beyond simple spreadsheets and uncover how to use Excel to clean, organize, analyze, and visualize real-world datasets, all without writing a single line of code.

This course blends foundational Excel training with data-driven problem solving. Learners will start with the basics of data entry, formatting, and formulas, then advance to powerful tools like PivotTables, Power Query, and dashboards. Along the way, you'll build the analytical mindset needed to extract insights and make data-informed decisions.

You could be preparing for deeper study in Python, R, or machine learning, or just looking to apply Excel to real job scenarios, this course equips you with the essential skills to get started confidently in the data world.

What Makes This Course Unique?

  • Data-Driven Focus: Unlike generic Excel courses, this one is tailored specifically for aspiring data analysts and data scientists.
    • Hands-On Projects: Apply what you learn by working on realistic datasets and building fully functional dashboards.
      • Zero Coding Required: All tools used are built-in to Excel, perfect for learners from non-programming backgrounds.
        • Professional Skill Building: Gain competencies that are immediately valuable in the workplace or freelance environment

        What will i learn?

        • Confidently work with large datasets in Excel
        • Use formulas, functions, and lookup tools for efficient analysis
        • Clean and prepare messy datasets for analysis
        • Create dynamic PivotTables and compelling visualizations
        • Build interactive dashboards for real-world data reporting
        • Apply Excel as a practical tool for early-stage data science

        Requirements

        • No prior Excel or data science experience required
        • Enthusiasm to work with numbers, logic, and visualizations
        • A laptop or desktop computer (Windows or Mac)
        • Microsoft Excel 2016 or newer (Office 365 strongly recommended)
        • Stable internet connection for video streaming and downloads
        • Excel Analysis ToolPak enabled (comes with Excel)
        • Power Query (built-in for Excel 2016+)

        Frequently asked question

        No. This course starts with the fundamentals of Excel and gradually progresses to advanced data analysis techniques. It’s designed for beginners as well as those who want to sharpen their Excel skills for data work.

        Yes. While Excel is not a programming language, it remains a key tool in the data science ecosystem, especially for data cleaning, exploration, and dashboarding. This course provides a strong foundation for transitioning into Python, R, or Power BI.

        We recommend Microsoft Excel 2016 or later. Some tools like Power Query and XLOOKUP are only available in recent versions (Office 365/Excel 2021 or newer is ideal).

        Yes. Learners who complete the lessons, assignments, and final project will be awarded a Quantify Academy Certificate of Completion to showcase their Excel proficiency.

        The course is 100% online, with video lessons, interactive exercises, downloadable Excel files, and project-based assessments. You’ll also have access to instructor support via discussion boards or live sessions.

        You’ll work on practical, real-world datasets to create: 1. Cleaned and validated datasets 2. Analytical PivotTables 3. Charts and visualizations 4. A full-featured interactive Excel dashboard for reporting

        Yes. Although the course is structured with a suggested weekly schedule, you can learn at your own pace with lifetime access to the materials.

        Olivia Nakacwa

        Head of Academics and Instructions Operations

        I lead the development, management, and continuous improvement of all academic operations right from program development to final delivery to learners. I'm driven by a passion for student success and a commitment to maintaining a curriculum that is both industry-relevant and student-centered. I take pride in aligning our academic initiatives with the academy’s mission to nurture the next generation of data science and technology professionals.My responsibilities cover curriculum development, instructional design, academic planning, and faculty support. I work collaboratively with department heads, instructors, and the executive team to ensure our programs reflect current industry demands while meeting the diverse learning needs of our students. Beyond technical instruction, I emphasize critical thinking, creativity, and leadership, skills essential for thriving in today’s data-driven world.With a professional background that includes expertise in Artificial Intelligence, Internet of Things (IoT), Robotics, and Computer Applications, I bring a multidisciplinary approach to academic leadership. My work focuses on building a dynamic and supportive learning environment where both instructors and students are empowered to grow and excel.I also oversee faculty training, student academic support systems, accreditation compliance, and the implementation of innovative teaching strategies. My vision is to position Quantify Academy as a leading institution where quality education, practical skills, and a commitment to impact converge to shape future leaders in technology. Every day, I am inspired by the potential of our students, and I remain dedicated to providing them with the tools, guidance, and opportunities they need to succeed and create meaningful change in their communities and beyond.
        View profile

        Patrick Musinguzi

        13-Jun-2025

        (4)

        $98.53

        Lectures

        0

        Skill level

        Beginner

        Expiry period

        5 Months
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