Data Science Courses and Certifications

Data Warehousing and Integration Part 1

Explore data warehousing fundamentals, dimensional modeling, ETL processes, and OLAP systems for building effective decision support systems and analytics platforms.

• Coursera
• 23 hours 6 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Databricks Lakehouse Fundamentals

Discover how to build data pipelines on Databricks Lakehouse Platform with hands-on PySpark, Delta Lake, and Unity Catalog training for complete data engineering workflows.

• Coursera
• 4 hours 53 minutes
• Self-Paced
• Paid Course

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

Foundations for Data Analytics Part 2

Master time series analysis, text mining, network theory, and probability distributions through hands-on applications in data cleaning, clustering, and statistical modeling.

• Coursera
• 9 hours 43 minutes
• Self-Paced
• Paid Course

Data Warehousing Essentials for Analytics and AI Support

Explore data warehousing essentials for analytics and AI support, covering architecture, dimensional modeling, and database concepts to transform raw data into actionable insights.

• Coursera
• 16 hours 36 minutes
• Self-Paced
• Paid Course

Computation and Visualization for Analytics Part 2

Master advanced data visualization techniques using Python libraries like Matplotlib, Seaborn, and Plotly to create static and interactive plots for data exploration and storytelling.

• Coursera
• 2 days 2 hours 43 minutes
• Self-Paced
• Paid Course

Packt

Foundations of R Programming and Basic Data Manipulation

Master R programming and data manipulation essentials. Learn data types, structures, import/export, visualization, and advanced techniques. Gain practical skills through hands-on labs for effective data analysis and insights.

• Coursera
• 9 hours 37 minutes
• Self-Paced
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Coursera

Data Cleaning in Snowflake: Techniques to Clean Messy Data

Learn techniques to clean messy data in Snowflake, including identifying quality issues, using SQL functions, extracting dates, and correcting missing or duplicate information.

• Coursera
• 2 hours 41 minutes
• Self-Paced
• Paid Course

Data Warehousing and Integration Part 2

Explore advanced data engineering techniques including ETL design with BPMN and Talend, cloud-based data pipelines, ingestion patterns, transformation processes, and serving data for analytics and ML.

• Coursera
• 11 hours 28 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Enterprise Data Wrangling with SQL and Python

Master enterprise data wrangling using SQL and Python—covering extraction, profiling, cleansing, integration, and automation to solve real-world business data challenges.

• Coursera
• 7 hours 57 minutes
• Self-Paced
• Paid Course

Business Process Engineering Part 2

Master business process engineering with agile techniques, data visualization, and lean methodologies to optimize workflows, drive continuous improvement, and integrate complex information systems into core operations.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Social Media & Marketing - Jagdish Sheth

Explore the transformative impact of digital technology and social media on marketing strategies, including branding, distribution, and consumer engagement in the digital age.

• Coursera
• 5 hours 5 minutes
• Self-Paced
• Paid Course

Digital Marketing Institute

An Introduction to Digital Marketing and Digital Strategy

Discover the fundamentals of digital marketing, from technology's impact to strategy development, budget planning, and customer experience. Master essential skills for setting objectives, conducting research, and implementing agile marketing approaches.

• Coursera
• 9 hours 10 minutes
• Self-Paced
• Paid Course