Course Title: Complete Data Analytics Course with Python, Excel and SQL
Course Description:
Unlock the power of data with this all-in-one, hands-on course designed for aspiring data analysts, professionals, and students—including those who are blind or visually impaired. Learn to navigate and analyze data using three of the most in-demand tools in data analytics: Microsoft Excel, MySQL databases, and Python programming. This course provides accessible, screen reader-friendly methods and keyboard shortcuts to empower learners in performing advanced data cleaning, management, querying, statistical analysis, and visualization. You’ll develop the confidence to transform raw data into meaningful insights and make informed, data-driven decisions across a variety of real-world scenarios. Whether you’re new to data analytics or looking to upskill, this program equips you with essential, industry-standard skills—tailored for practical application and inclusivity—so you can thrive in today’s data-focused workplaces.
Who Should Take This Course?
- Individuals who are blind or visually impaired and want to pursue a career or interest in data analytics
- Students and professionals seeking practical, accessible skills in Excel, SQL, and Python
- Individuals looking for an inclusive, accessible learning path in data analytics
- Anyone interested in learning how to manage, analyze, and visualize data from scratch
- Those preparing for roles in business analysis, data science, or database management
What You Will Learn:
- Navigate and analyze data efficiently using advanced Excel features with screen readers
- Design, manage, and query relational databases using MySQL
- Write Python programs to clean, transform, and analyze datasets
- Automate data workflows and create accessible visualizations for impactful reporting
- Integrate skills across Excel, SQL, and Python for comprehensive data analytics
Click here to read mor on what you will learn on individual programming language
What you will gain :
- Enhanced career opportunities in data analytics and related fields.
- Proficiency in industry-standard tools for real-world data tasks.
- Portfolio-ready projects to showcase your abilities.
- Certificate of proficiency after successfully finishing the course
- Practical, accessible skills in Excel, SQL, and Python for data analytics.
- Confidence to analyze and interpret data independently using screen reader-friendly methods.
- Audio recordings of lessons for easy review and practice
- Comprehensive course materials and reference books for ongoing learning
- Continuous lifetime support to assist you beyond the classroom
- Opportunity to join our alumni page and connect with fellow graduates
Course Objectives:
By the end of the course, learners will be able to:
- Use keyboard and screen reader navigation efficiently within Excel, SQL tools, and Python coding environments.
- Apply advanced Excel functions, PivotTables, and charts to clean, analyze, and visualize data.
- Design, create, query, and maintain relational databases in MySQL to efficiently organize and retrieve data.
- Write Python scripts to clean, aggregate, merge, and analyze data using libraries such as Pandas and NumPy.
- Critically evaluate data quality, handle missing or inconsistent data, and document data analytics workflows.
- Automate data tasks and perform statistical analyses to extract meaningful insights and support data-driven decisions.
- Import, export, and integrate data seamlessly between Excel, SQL databases, and Python tools.
- Design accessible data visualizations and reports that effectively communicate insights
- Communicate data-driven findings in accessible formats, including written summaries, visual charts, and oral presentations.
Course Duration:
24 Weeks or 6 Months (48 lessons: 2 lessons a week; 90 minutes per lesson)
Difficulty Level:
Beginners
Course Requirements
- Computer running Windows 10 or 11
- Microsoft Office 2016 or later versions
- Strong internet connection.
- NVDA or JAWS screen reader
Note: No prior knowledge of coding is required.
Amount
Private Class: US$420.00 or GHS4830.00 (for Ghanaians)