Data Analysis Courses and Certifications

Defining, Describing, and Visualizing Data

15 ratings at Coursera

Learn to analyze and visualize data effectively, using tools like RStudio and ROIStat to make informed decisions and solve problems in engineering and technical fields.

• Coursera
• 9 hours 21 minutes
• Self-Paced
• Paid Course

Association Rules Analysis

12 ratings at Coursera

Explore unsupervised learning with association rules and outlier detection. Learn frequent patterns, Apriori algorithms, and outlier analysis techniques through hands-on tutorials and real-world case studies.

• Coursera
• 22 hours 56 minutes
• Self-Paced
• Paid Course

Clustering Analysis

11 ratings at Coursera

Explore unsupervised learning techniques, including clustering methods and dimension reduction, to uncover patterns and insights in diverse datasets through hands-on tutorials and case studies.

• Coursera
• 1 day 13 hours 2 minutes
• Self-Paced
• Paid Course

Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle

2629 ratings at Udemy

Boost Your Career with Data Analytics: Learn Excel, SQL & Tableau for Advanced Business Insights & Competitive Advantage

• Udemy
• 1 day 4 hours 47 minutes
• Self-Paced
• Paid Course

Capstone: Create Value from Open Data

55 ratings at Coursera

Explore open data to solve real-world issues, creating value for public authorities, companies, and citizens through analysis and presentation of insights from diverse sectors.

• Coursera
• 13 hours 44 minutes
• Self-Paced
• Paid Course

Corporate Finance Institute Career Certificate

Data Skills for Excel Professionals

208 ratings at Coursera

Enhance Excel proficiency with advanced data analysis, Power Query, and Power Pivot skills for data-driven decision-making in corporate finance contexts.

• Coursera
• 8 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

From Data to Decisions: Finding Patterns with AI

Discover how to leverage AI tools for creating data visualizations, conducting statistical analyses, and generating clear explanations of patterns and relationships in your data.

• Coursera
• 4 hours 47 minutes
• Self-Paced
• Paid Course

Customer Data Analytics for Marketers

13 ratings at Coursera

Enhance marketing strategies with data-driven insights. Learn statistical concepts, correlation analysis, and causality to make informed decisions and improve customer understanding.

• Coursera
• 23 hours 47 minutes
• Self-Paced
• Paid Course

ChatGPT Advanced Data Analysis

983 ratings at Coursera

Unlock AI-powered data analysis skills to boost productivity, automate tasks, and enhance creativity. Learn effective prompt writing for ChatGPT to transform documents, visualize data, and streamline workflows.

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

Classification Analysis

Explore key classification algorithms, their applications, and evaluation methods. Gain hands-on experience through tutorials and case studies to solve real-world data analysis problems.

• Coursera
• 1 day 14 hours 14 minutes
• Self-Paced
• Paid Course

Data Understanding and Visualization

Learn essential statistical concepts and data visualization techniques using Pandas, Matplotlib, and Seaborn to effectively analyze, interpret, and communicate insights from datasets through compelling visualizations.

• Coursera
• 1 day 1 hour 13 minutes
• Self-Paced
• Paid Course

Network Analysis for Marketing Analytics

Explore network analysis for marketing data, covering text datasets and social networks. Learn key concepts, data structures, and visualization techniques through Python tutorials and a hands-on project.

• Coursera
• 10 hours 21 minutes
• Self-Paced
• Paid Course

Data Acquisition, Risk, and Estimation

Learn data acquisition planning, estimation techniques, and risk reduction for capital investments using sampling, hypothesis testing, and ROI calculations.

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

Data Processing and Manipulation

Learn essential data processing techniques: handling missing values, detecting outliers, sampling, dimension reduction, scaling, discretization, and using data cubes and pivot tables for efficient analysis and decision-making.

• Coursera
• 1 day 4 hours 43 minutes
• Self-Paced
• Paid Course

Data Wrangling with Python Project

Apply data wrangling techniques to transform raw data into a refined dataset ready for analysis. Gain hands-on experience in identifying sources, collecting, integrating, and processing data for real-world challenges.

• Coursera
• 1 day 1 hour 41 minutes
• Self-Paced
• Paid Course