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Career Paths
Data Scientist (Python)Data Analyst (Python)Data Engineer (Python)Data Analyst (R)Business Analyst (Power BI)Business Analyst (Tableau)
Course Count
38 Courses: Data Scientist (Python)27 Courses: Data Analyst (Python)22 Courses: Data Engineer (Python)23 Courses: Data Analyst (R)15 Courses: Business Analyst (Power BI)14 Courses: Business Analyst (Tableau)
Course Difficulty Levels
BeginnerIntermediateAdvanced
Course Duration Range
2 hour3 hour5 hour6 hour7 hour10 hour14 hour15 hour20 hour25 hour26 hour30 hour40 hour85 hour
For Business/Education
For BusinessFor Educators
Free Tutorials
SQL TutorialsPython TutorialsNumPy, Pandas and Data Visualization TutorialsData Cleaning Tutorials
Hands-On Learning Approach
Interactive Coding Challenges
Interview Prep Specialization
#1 in Interview Prep
Languages and Topics
System DesignAWSAIMachine LearningReactPythonSQLWeb DevelopmentCloudData ScienceGenerative AICoding
Latest Learning Resources
Hands-On NoSQL with MongoDBProject Tutorial: Build a Web Interface for Your Chatbot with Streamlit10 Data Science Jobs That Are in Demand
Number of Real-life Projects
300
Personalized Interview Prep
Personalized Learning Plan
Project Portfolio Building
Project Templates
Predict The Weather with PythonAnalyze Customers with SQLModel Churn with ExcelPredict Football Winners with PythonClassify Images with PythonBuild a Spam Filter with R
Skill Paths
SQLMachine LearningProbability and StatisticsData Literacy using ExcelAPIs and Web Scraping with PythonGen AI (Python)
Skills Path Course Count
5 Courses: SQL7 Courses: Machine Learning12 Courses: Probability and Statistics5 Courses: Data Literacy using Excel1 Course: APIs and Web Scraping with Python8 Courses: Gen AI (Python)
Standalone Courses
Introduction to PythonCommand LineGit and GithubIntroduction to Pandas and NumPy for Data AnalysisHypothesis Testing in ROptimizing Machine Learning Models in Python
Step-By-Step Learning Path