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| Formats: | Asynchronous |
| Blended | |
| Online | |
| Onsite | |
| Part-time | |
| Level: | Intermediate |
| Prerequisites: | |
| Recommended Knowledge | |
Formats: We offer our training content in a flexible format to suit your needs. Contact Us if you wish to know if we can accommodate your unique requirements.
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Google Data Analytics Professional (GDAP)
Google Data Analytics Professional Certificate
Mastering Data Analytics Skills for a Data-Driven Career in South Africa
In a world driven by data, the ability to analyze and interpret information is a highly sought-after skill across industries. The Google Data Analytics Professional Certificate equips you with the tools and techniques to transform raw data into actionable insights, preparing you for entry-level data analytics roles.
Offered through Coursera and supported by our training institute in Randburg, Gauteng, this course provides South African professionals with hands-on training in data analytics. Designed by Google, it covers the full analytics lifecycle, preparing you for a globally recognized credential valued by employers worldwide.
Target Audience
This course is ideal for individuals looking to start or advance in a data analytics career, including:
Aspiring Data Analysts
Beginners seeking to enter the data analytics field with no prior experience.
Business Professionals
Managers and staff needing data skills for decision-making.
Students & Career Changers
Individuals transitioning to data-focused roles.
Marketing & Finance Specialists
Professionals applying data insights in their domains.
Prerequisite Skills
This course is beginner-friendly, with no prior experience required, but participants should have:
- Basic Computer Literacy: Familiarity with using software and browsing the internet.
- Basic Math Skills: Comfort with fundamental arithmetic and logical thinking.
- Optional: Familiarity with spreadsheets (e.g., Excel or Google Sheets) is helpful but not mandatory.
What One Will Learn (Learning Outcomes)
Upon completion of this course, you will be able to:
- Understand Data Analytics: Grasp core concepts and the analytics lifecycle.
- Clean and Prepare Data: Process datasets using spreadsheets and SQL.
- Analyze Data: Perform exploratory data analysis with statistical methods.
- Create Visualizations: Design charts and dashboards with Tableau and Google Data Studio.
- Use Programming Tools: Apply R and SQL for data manipulation and analysis.
- Communicate Insights: Present findings effectively through data storytelling.
Target Market
This course is vital for organizations in South Africa aiming to foster data-driven cultures:
Small to Large Enterprises
Upskilling employees for data-driven decision-making.
Consulting Firms
Equipping teams with analytics skills for client solutions.
Financial Services
Improving insights for risk and customer analytics.
Retail & E-commerce
Analyzing sales trends and customer behavior.
Healthcare
Enhancing patient and operational data analysis.
Course Outline: Google Data Analytics Professional Certificate
This course, delivered via Coursera, consists of eight modules covering the essentials of data analytics, from foundational concepts to practical applications.
Module 1: Foundations: Data, Data, Everywhere
- Introduction to data analytics and its role in business.
- Explore data analyst roles and responsibilities.
- Understand the data analytics lifecycle.
- Lab: Explore data tools like spreadsheets and SQL.
Module 2: Ask Questions to Make Data-Driven Decisions
- Formulate effective business questions for analysis.
- Understand structured thinking for problem-solving.
- Explore decision-making frameworks.
- Lab: Define SMART goals for data projects.
Module 3: Prepare Data for Exploration
- Collect data from various sources (databases, APIs, CSVs).
- Organize and clean data using spreadsheets.
- Address data bias and ethical considerations.
- Lab: Clean a dataset using Google Sheets.
Module 4: Process Data from Dirty to Clean
- Identify and handle missing data and outliers.
- Use SQL for data cleaning and transformation.
- Ensure data integrity and consistency.
- Lab: Clean data with SQL queries.
Module 5: Analyze Data to Answer Questions
- Perform exploratory data analysis (EDA).
- Use statistical measures (mean, median, standard deviation).
- Aggregate data with SQL and spreadsheets.
- Lab: Conduct EDA on a dataset.
Module 6: Share Data Through the Art of Visualization
- Create visualizations with Tableau and Google Data Studio.
- Apply principles of effective data visualization.
- Build interactive dashboards.
- Lab: Design a dashboard in Tableau.
Module 7: Data Analysis with R Programming
- Learn R basics for data manipulation.
- Use R for statistical analysis and visualization.
- Apply R packages like ggplot2 and dplyr.
- Lab: Analyze data using R scripts.
Module 8: Google Data Analytics Capstone: Complete a Case Study
- Apply skills to a real-world case study.
- Develop a portfolio-ready project.
- Present findings to stakeholders.
- Lab: Complete a capstone project.
Course Features
- Duration: Approximately 6 months at 10 hours per week (self-paced).
- Format: Online via Coursera with videos, quizzes, and hands-on projects.
- Certification: Google Data Analytics Professional Certificate upon completion.
- Cost: Coursera subscription (approx. USD 49/month, financial aid available).
- Support: Optional in-person workshops at our Randburg institute.
Why Choose the Google Data Analytics Certificate?
Developed by Google, this certificate offers practical, job-ready skills in data analytics, with over 1 million completions globally. It opens doors to entry-level roles in South Africa’s growing data industry, equipping you with tools like SQL, R, and Tableau to drive business success.