Data Management Courses

Microcredential

Data Analysis with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Big Data Analytics

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.

• edX
• 10 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Big Data Fundamentals

Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

• edX
• 10 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Big Data Capstone Project

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.

• edX
• 6 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Data Analytics for Managers

Discover how to leverage data analytics for strategic decision-making, explore key techniques like clustering and regression, and transform business frameworks through data-driven insights.

• edX
• 6 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Programming for Data Science

6 ratings at edX

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

• edX
• 10 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Critical Evaluation in Data Science: Data, the World, and You

Discover how to critically evaluate data claims and avoid misleading statistics in everyday life through foundational quantitative methods and statistical thinking.

• edX
• 6 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Python, Bash and SQL Essentials for Data Engineering

468 ratings at Coursera

Desarrolla habilidades esenciales en Python, Bash y SQL para la ingeniería de datos con ejercicios prácticos y estrategias aplicables, guiado por ingenieros profesionales.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 4 courses

Microcredential

Financial Management

401 ratings at Coursera

Enhance financial acumen to make better business decisions, spot problems, and increase organizational influence. Learn from industry expert Professor Joe Perfetti in this comprehensive program for non-financial managers.

• Coursera
• 8 weeks, 5 hours a week
• On-Demand
• Paid Course
• 7 courses

Python and Pandas for Data Engineering

270 ratings at Coursera

Learn Python and Pandas for data engineering, covering environment setup, data manipulation, and analysis. Gain hands-on experience with Jupyter, Vim, and VS Code while exploring essential Python concepts and Pandas operations.

• Coursera
• 2 days 4 hours 12 minutes
• On-Demand
• Paid Course

Financial Risk Management with R

257 ratings at Coursera

Learn to calculate portfolio returns and quantify market risk using R, focusing on Value-at-Risk and Expected Shortfall for financial market analysis in various institutions.

• Coursera
• 14 hours 54 minutes
• On-Demand
• Paid Course

Linux and Bash for Data Engineering

132 ratings at Coursera

Master Linux and Bash essentials for data engineering tasks. Learn file management, shell scripting, and command-line tools to enhance your development environment and solve common data problems efficiently.

• Coursera
• 2 days 17 hours 34 minutes
• On-Demand
• Paid Course

Microcredential

Applied Python Data Engineering

120 ratings at Coursera

Leverage big data for business strategy and AI using Python. Master data pipelines, platforms like Hadoop and Spark, and data visualization techniques. Ideal for engineers and data professionals.

• Coursera
• 20 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Scripting with Python and SQL for Data Engineering

109 ratings at Coursera

Learn Python and SQL for data engineering: work with data structures, connect to databases, perform web scraping, and execute SQL queries using modern tools. Gain practical skills for effective data manipulation and extraction.

• Coursera
• 1 day 2 minutes
• On-Demand
• Paid Course

Microcredential

Programming for Python Data Science: Principles to Practice

96 ratings at Coursera

Master Python data science essentials from fundamentals to advanced modeling, working hands-on with NumPy, Pandas, and Matplotlib to build a complete data analysis skillset for creating impactful insights and visualizations.

• Coursera
• 16 weeks, 5 hours a week
• On-Demand
• Paid Course
• 5 courses