Data Management Courses

Certified Associate in Project Management (CAPM)® Exam: Unit 6

Explore Agile project management fundamentals including Scrum framework, adaptive teams, servant leadership, and various methodologies like Kanban and Extreme Programming for flexible delivery.

• Coursera
• 3 hours 29 minutes
• Self-Paced
• Paid Course

Certified Associate in Project Management (CAPM)® Exam: Unit 7

Master business analysis fundamentals for project success, covering requirements gathering, stakeholder engagement, and adaptive approaches for CAPM certification preparation.

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

Certified Associate in Project Management (CAPM)® Exam: Unit 8

Discover personalized strategies and test-taking techniques to confidently pass the CAPM certification exam with tailored learning approaches that fit your schedule.

• Coursera
• 1 hour 24 minutes
• Self-Paced
• Paid Course

Coursera

Beyond basics: Advanced Data Analysis with Python

Master advanced statistical methods, hypothesis testing, A/B testing, and workflow automation using Python with real employee and medical datasets to solve complex business problems.

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

Client HQ: Streamline Client Project Management with Notion

Master Notion to build a custom client project management system that streamlines workflows, organizes databases, and creates collaborative portals for service-based businesses.

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

Coursera

Explore and Visualize Data the Python Way

Master data visualization with Python using Matplotlib, Seaborn, and Plotly to transform complex datasets into compelling visual stories that drive decision-making.

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

First Steps in R: Importing and Exporting Data

Master data import/export in R using Visual Studio Code. Handle CSV, Excel, and text files while managing missing values and formatting issues for real-world analysis projects.

• Coursera
• 3 hours 8 minutes
• Self-Paced
• Paid Course

Coursera

From Raw to Ready: Data Preparation in Python

Master data transformation techniques in Python, from importing diverse sources to manipulating DataFrames and NumPy arrays for analysis-ready formats.

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

Mastering Data Wrangling with dplyr

Master dplyr for R data manipulation through hands-on practice with retail sales data, learning to filter, arrange, and transform datasets using pipe operators and essential functions.

• Coursera
• 6 hours 27 minutes
• Self-Paced
• Paid Course

Reshaping Data with tidyr

Master tidyr to efficiently transform data between wide and long formats through hands-on exercises with real-world examples and regional sales data.

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

Shopify eCommerce Ads Masterclass: Campaign Management

Master advanced Facebook and Instagram ad management for Shopify stores with data-driven optimization strategies, retargeting frameworks, and scaling techniques to maximize ROI.

• Coursera
• 8 hours 35 minutes
• Self-Paced
• Paid Course

Packt

Ace the Salesforce Certified Tableau Data Analyst Exam

Master Tableau fundamentals to advanced techniques including LOD expressions, interactive dashboards, and geographic mapping to pass the Salesforce Certified Data Analyst exam.

• Coursera
• 15 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Advanced Apple Platform Security, Integrations, & Management

Master advanced Apple device security, integrations, and management using Mosyle MDM, AppleSeed for IT, and Deploy Pro across iOS, iPadOS, and macOS environments.

• Coursera
• 5 hours 50 minutes
• Self-Paced
• Paid Course

Packt

Data Science Foundations: NumPy, Pandas & Visualization

Master Python's essential data science libraries - NumPy, Pandas, Matplotlib & Seaborn - through hands-on practice with arrays, DataFrames, and compelling visualizations.

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

Packt

Data Science Model Deployments and Cloud Computing on GCP

Master GCP deployment of data science models using Cloud Run, App Engine, and Vertex AI with hands-on Docker containerization and serverless computing techniques.

• Coursera
• 10 hours 34 minutes
• Self-Paced
• Paid Course