The prepares learners for roles in data analysis, business intelligence, and operations analysis by teaching essential data collection, processing, analysis, visualization, and storytelling skills. This program provides hands-on training with spreadsheets, SQL, Tableau, and R programming, ensuring graduates are job-ready for entry-level data analytics roles.
No prior experience required.
Estimated Time to Complete
Approximately 6 months at 10 hours per week
Why Take This Course?
- Master Data Analytics Skills – Learn how to analyze and interpret data to inform business decisions.
- Hands-On Learning – Work with spreadsheets, SQL, Tableau, and R for real-world data analysis.
- Career-Ready Certification – Prepares learners for roles like Data Analyst, Business Systems Analyst, and Operations Analyst.
- Flexible & Self-Paced – Complete the course online at your own speed.
What You’ll Learn
- How to clean, organize, and analyze data to uncover insights.
- How to use SQL to query databases and extract relevant data.
- How to create visualizations in Tableau to communicate findings.
- How to write data reports and present insights to stakeholders.
- How to use R programming for statistical analysis and data modeling.
Course Modules & Skills Gained
Course 1: Foundations – Data, Data, Everywhere
- Learn data analytics fundamentals and key concepts.
- Explore data life cycles, job roles, and analytical thinking.
Course 2: Ask Questions to Make Data-Driven Decisions
- Develop data-driven decision-making skills.
- Learn effective stakeholder communication & structured thinking.
Course 3: Prepare Data for Exploration
- Work with structured and unstructured data.
- Use SQL to extract, clean, and format datasets.
Course 4: Process Data from Dirty to Clean
- Apply data cleaning techniques in spreadsheets and SQL.
- Understand data integrity, bias, and ethical considerations.
Course 5: Analyze Data to Answer Questions
- Conduct data sorting, filtering, and validation.
- Perform statistical analysis using SQL and spreadsheets.
Course 6: Share Data Through the Art of Visualization
- Create interactive dashboards and reports with Tableau.
- Develop data storytelling techniques to communicate insights.
Course 7: Data Analysis with R Programming
- Learn R programming basics, data manipulation, and visualization.
- Work with RStudio, Tidyverse, and ggplot2 for advanced analytics.
Course 8: Capstone – Complete a Case Study
- Work on a real-world data analytics project to showcase in a portfolio.
- Prepare for data analyst job interviews with hands-on practice.
Who Should Enroll?
This course is ideal for:
- Aspiring Data Analysts looking to develop in-demand data skills.
- Students & Career Changers wanting to enter the data analytics field.
- Professionals & Business Leaders seeking to make data-driven decisions.
No prior experience is required – just an interest in data analytics!