Data Protection Courses

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 11 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

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 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

Data Collection and Integration

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 8 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analysis with Python

Comprehensive overview of data analysis techniques using Python, covering classification, regression, clustering, and more. Includes hands-on examples and a final project.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Data Wrangling with Python

Master essential data wrangling skills with Python, covering tools, collection, understanding, preprocessing, and visualization. Gain practical experience through exercises and a final project to tackle real-world data challenges.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Statistical Learning for Data Science

Gain advanced statistical learning techniques for data science, including model selection, regression, classification, and unsupervised learning. Develop skills to explain and justify models effectively.

• Coursera
• 16 weeks, 9 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

The Data Driven Manager

Learn to understand, describe, and analyze data for informed decision-making. Develop skills in data visualization, probability, risk assessment, and problem-solving to drive business and engineering outcomes.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel, Part 1

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 31 minutes
• Self-Paced
• Paid Course

Statistics and Data Analysis with Excel, Part 2

Explore advanced statistical techniques using Excel, including hypothesis testing, regression analysis, and ANOVA. Build on foundational concepts to enhance data analysis skills.

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

Data Driven Decision Making

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 19 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

Statistics and Data Analysis with R

Master statistical analysis using RStudio through hands-on practice with probability, hypothesis testing, regression, and ANOVA. Learn to manipulate data, create visualizations, and perform complex calculations using R programming.

• Coursera
• 3 days 23 hours 28 minutes
• Self-Paced
• Paid Course

BiteSize Python for Absolute Beginners: Data Structures

Master Python's core data structures through hands-on exploration of lists, tuples, sets, and dictionaries, culminating in practical case studies for efficient data manipulation and problem-solving.

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