This 3-Month Data Analytics course equips learners with practical skills in Excel, SQL, and Power BI to analyze, visualize, and interpret data for informed decision-making. Through hands-on projects, participants will master data cleaning, querying, and dashboard creation. Ideal for beginners and aspiring data analysts, the course builds a strong foundation in data analytics, preparing learners for real-world roles and professional certifications in today’s data-driven world.
By the end of this course, learners will:
Understand Core Data Analytics Concepts
Gain foundational knowledge of data analysis, including types, processes, and the role of analytics in decision-making.
Develop Proficiency in Microsoft Excel
Learn to organize, analyze, and visualize data using Excel formulas, functions, pivot tables, and dashboards effectively.
Master SQL for Data Querying
Build skills to write SQL queries that extract, filter, join, and summarize data from relational databases.
Clean and Prepare Data Efficiently
Acquire techniques for cleaning, formatting, and validating data to ensure accuracy and consistency for analysis.
Create Interactive Dashboards in Power BI
Use Power BI to design interactive, visually appealing dashboards that communicate insights and support data-driven decisions.
Apply DAX for Advanced Analysis
Learn to use DAX functions in Power BI to create calculated columns, measures, and custom KPIs for deeper insights.
Integrate Tools for End-to-End Projects
Combine Excel, SQL, and Power BI to perform full-scale data analysis projects from raw data to insight delivery.
Build a Personal Portfolio Project
Design and present a comprehensive analytics project to demonstrate practical knowledge and enhance job or freelance opportunities.
Enhance Problem-Solving and Critical Thinking
Develop analytical thinking by solving real-world business problems using data-driven approaches and decision-making techniques.
Prepare for Industry Roles and Certifications
Gain relevant skills and hands-on experience to qualify for data-related roles and pursue professional certifications in analytics.
By the end of this course, learners will be able to:
Understand and Explain Data Analytics Concepts
Articulate the key principles, processes, and importance of data analytics in modern business environments.
Utilize Microsoft Excel for Data Analysis
Perform data entry, cleaning, manipulation, and advanced analysis using Excel functions, formulas, pivot tables, and charts.
Query and Analyze Data Using SQL
Write efficient SQL queries to retrieve, filter, aggregate, and join data from multiple relational database tables.
Clean and Transform Data for Analysis
Apply data cleaning techniques to prepare raw datasets for meaningful and accurate analysis across tools.
Design Interactive Reports in Power BI
Create visually engaging dashboards and reports using Power BI, enabling dynamic exploration and storytelling with data.
Apply DAX for Deeper Analytical Insights
Use Data Analysis Expressions (DAX) to create custom calculations and key metrics in Power BI.
Integrate Excel, SQL, and Power BI in Projects
Combine skills across all three tools to develop end-to-end data solutions for real-world scenarios.
Communicate Data-Driven Insights Effectively
Interpret and present data insights clearly to stakeholders using charts, visuals, and storytelling techniques.
Build and Present a Capstone Data Project
Complete a practical project demonstrating mastery of data analytics concepts, tools, and presentation skills.
Demonstrate Readiness for Entry-Level Data Roles
Showcase competence and practical experience suitable for entry-level roles such as Data Analyst or Reporting Analyst.
Basic Computer Literacy
Learners should be comfortable using a computer, navigating folders, and working with common applications like browsers and Microsoft Office.
Access to a Personal Computer or Laptop
A Windows PC or laptop (minimum 4GB RAM) is required for hands-on practice in Excel, SQL, and Power BI.
Microsoft Excel Installed
Learners must have a working version of Microsoft Excel (2016 or later recommended) installed for the Excel modules.
Internet Connectivity
Stable internet access is necessary for online sessions, software downloads, research, and accessing learning materials.
Time Commitment
Learners should dedicate a minimum of 6–8 hours per week for lectures, assignments, and project work.
Curiosity and Willingness to Learn
A positive attitude, curiosity about data, and commitment to learning are essential for success in this course.
Accredited by the NVTI to provide Digital/Tech Skills training programs in enhancing the Ghanaian youth workforce.
1st Floor, Room 3, Rams Horn Building opposite Winners Chapel International, Ho, Volta Region, Ghana.
P. O. Box HP 1413 [email protected]