Data Analysis Courses and Certifications

Microcredential

Survey Data Collection and Analytics

Comprehensive exploration of survey methodologies, covering questionnaire design, data collection, sampling, missing data handling, and complex data analysis for various research domains.

• Coursera
• 35 weeks, 3 hours a week
• On-Demand
• Paid Course
• 7 courses

Clustering Analysis

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 1 minute
• On-Demand
• Free Online Course (Audit)

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 13 minutes
• On-Demand
• Free Online Course (Audit)

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 12 minutes
• On-Demand
• Free Online Course (Audit)

Association Rules Analysis

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 55 minutes
• On-Demand
• Free Online Course (Audit)

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 20 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis with Python Project

Comprehensive exploration of data analysis techniques, from classification to outlier detection, empowering learners to conduct real-world projects and make data-driven decisions.

• Coursera
• 18 hours 10 minutes
• On-Demand
• Free Online Course (Audit)

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 42 minutes
• On-Demand
• Free Online Course (Audit)

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
• 8 hours 56 minutes
• On-Demand
• Free Online Course (Audit)

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 40 minutes
• On-Demand
• Free Online Course (Audit)

Managing, Describing, and Analyzing Data

32 ratings at Coursera

Learn to classify, visualize, and analyze data using R. Master descriptive statistics, probability distributions, sampling techniques, and hypothesis testing for informed decision-making and statistical inference.

• Coursera
• 17 hours 48 minutes
• On-Demand
• Free Online Course (Audit)

Statistics and Data Analysis with Excel, Part 1

21 ratings at Coursera

Learn foundational statistics concepts and apply them using Excel. Covers descriptive statistics, probability, and probability distributions. Ideal for beginners in data science and analytics.

• Coursera
• 16 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Data Driven Decision Making

20 ratings at Coursera

Learn statistical analysis techniques for data-driven decision making, including one and two sample tests, correlation, and ANOVA. Gain practical skills using RStudio and ROIStat for various data types and scenarios.

• Coursera
• 12 hours 8 minutes
• On-Demand
• Free Online Course (Audit)

Fundamental Tools of Data Wrangling

15 ratings at Coursera

Learn essential data wrangling tools: Python, data structures, NumPy, and pandas. Gain hands-on experience in manipulating, cleaning, and analyzing data for effective preparation and valuable insights.

• Coursera
• 1 day 2 hours 41 minutes
• On-Demand
• Free Online Course (Audit)

Data Collection and Integration

10 ratings at Coursera

Comprehensive techniques for gathering and integrating data from diverse sources, emphasizing practical experience with tools like Pandas, Beautiful Soup, and SQL to handle real-life datasets.

• Coursera
• 1 day 4 hours 7 minutes
• On-Demand
• Free Online Course (Audit)