Empowers you to transform raw data into actionable insights. Learn tidy data principles, master SQL basics, and explore table normalization techniques. Through hands-on practice with real-world datasets, you’ll develop the skills to clean, query, and analyze data for informed decision-making.
This course is ideal for those who possess a solid intermediate proficiency in Excel.
Organize and clean
datasets efficiently.
Query and transform data
with SQL.
Optimize data structure
for analysis.
Practical experience with
real-world datasets.
Learn the importance of tidy data in analysis, focusing on organizing variables, observations, and values. Gain practical techniques to clean and structure messy datasets for easier manipulation and visualization.
Understand the differences between normalized and denormalized data tables, including their pros and cons. Discover real-world applications to determine when each structure is most effective.
Get introduced to SQL and its role in data analysis. Learn essential commands like SELECT, WHERE, and JOIN to query, aggregate, and analyze data from multiple tables.
Apply your skills in a practical workshop using BigQuery SQL. Work with a large dataset to tidy, query, and transform data, extracting actionable insights for real-world scenarios.
For course customization and further discussion, feel free to reach out to us at marketing@matrixc.com
Mazlita Mat Hassan, known as “MEM,” is an accomplished IT corporate trainer and data science expert with a BSc in Computer Science from University College London. With over a decade of experience, she has trained more than 10,000 professionals across Southeast Asia, specializing in Microsoft Office, Google Apps, and Tableau.
As the CEO of RECQA, she drives DeLIMA 2.0, Malaysia’s National Digital Learning Platform, and leads MatrixC Academy’s Change Management training with Google Tools. Globally recognized, she is the SEA & Pacific Leader for UNCTAD’s “e-trade for women” initiative and received the 2023 Women in STEM award from Business and Professional Woman Malaysia for her contribution in co-developing DeLIMA 2.0 with MOE and Google Malaysia.
A distinguished data analytics trainer, data scientist, and AI specialist with deep expertise in data science, AI, and economic analysis. Renowned for architecting cutting-edge data solutions, he translates complex concepts into practical, high-impact training for both corporate teams and individuals.
Ikmal has successfully trained and consulted for leading companies like Proton, Star Media Group, and BE International, empowering professionals across industries to harness the power of big data and AI for significant productivity gains and career advancement.