Data Science Courses and Certifications

Data Wrangling for Business

Master data wrangling techniques for business, including extraction, cleansing, transformation, and automation using SQL, Python, and Alteryx to turn raw data into actionable insights.

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

Career Certificate

Data Analytics Engineering Graduate Certificate

Advance Your Career with Northeastern’s Top-Ranked College of Engineering Graduate Certificate in Data Analytics Engineering.

• Coursera
• Self-Paced
• Paid Course

Coursera

Agentic AI Content for Practitioners (Teams: Finance)

Unlock intelligent automation for finance operations through AI agents that analyze transactions, optimize workflows, and adapt to regulatory demands with hands-on labs.

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

Coursera

Research and Draft a Competitive Analysis

Uncover market dynamics and craft winning strategies through competitive analysis. Learn to gather critical data, identify opportunities, and create insightful reports for business success.

• Coursera
• 4 hours 55 minutes
• Self-Paced
• Paid Course

Segmenting the Market with Jagdish Sheth

This course is all about how to segment the market to take advantage of market heterogeneity. The course will review different bases for market segmentation including demographics, psychographics, and lifestyles. We will also review segmentation by produ…

• Coursera
• 6 hours 24 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

Whizlabs

Microsoft Fabric: Implement and Manage Analytics Solutions

Master Microsoft Fabric's unified analytics platform through hands-on implementation of data engineering, security, and orchestration solutions for the DP-700 certification exam.

• Coursera
• 12 hours 54 minutes
• Self-Paced
• Paid Course

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

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

Board Infinity

Fundamentals of Management Consulting

Master essential management consulting skills, from case interviews and guesstimates to analytical tools like BCG Matrix and SWOT Analysis. Prepare for consulting roles through practical problem-solving approaches and industry insights.

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

Big Data Technologies

Dive into big data technologies, exploring Hadoop, Spark, NoSQL databases, and stream processing frameworks to effectively capture, store, and analyze massive datasets using modern cloud infrastructure.

• Coursera
• 4 days 1 hour 58 minutes
• Self-Paced
• Paid Course

Emerging Markets - Jagdish Sheth

Explore the shift in global marketing due to emerging economies, focusing on affordability, accessibility, and local strategies. Learn to adapt marketing practices for success in these dynamic markets.

• Coursera
• 5 hours 54 minutes
• Self-Paced
• Paid Course

Business Modeling Tools

This course introduces learners to the Data Analysis tools in Microsoft Excel. More specifically, learners will focus on how to build and use single regression and multiple regression to solve business problems.

• Coursera
• 10 hours 12 minutes
• Self-Paced
• Paid Course

Excel: Data Analysis and Visualization Fundamentals

Master fundamental data analysis and visualization techniques in Excel to transform raw data into meaningful insights and compelling charts.

• Coursera
• 3 hours 25 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

Creating Features for Time Series Data

Explore time series data analysis techniques including binning, smoothing, transformations, spectral analysis, and motif detection to create effective features for advanced analytics and modeling.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course