Data Science & Data Analysis
About This Course
This comprehensive training program equips you with the skills to collect, process, analyze, and visualize data for actionable insights. You’ll learn statistical analysis, data wrangling, machine learning basics, and storytelling with data using industry-standard tools like Python, Pandas, NumPy, Matplotlib, Power BI, and SQL. By the end of the course, you’ll be able to make data-driven decisions and solve real-world business problems.
Learning Objectives
• Introduction to data science, data analytics, and their applications
• Data collection, cleaning, and preprocessing
• Exploratory Data Analysis (EDA) with Python (Pandas, NumPy)
• Data visualization using Matplotlib, Seaborn, and Power BI/Tableau
• SQL for querying and managing databases
• Statistical concepts: probability, hypothesis testing, correlation, regression
• Basics of machine learning models (classification, regression, clustering)
• Working with real-world datasets and case studies
• Building dashboards and data reports
• Best practices for data storytelling and presentation
Target Audience
- • Students and graduates aspiring to work in data-related fields
- • Professionals transitioning to data analytics or data science roles
- • Business analysts and managers wanting to use data for decision-making
- • Developers seeking to enhance analytical skills
- • Entrepreneurs and startups leveraging data for growth
Curriculum
2 Lessons
Introduction
Composition
Your Instructors
admin
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Great tutorial of using Lightroom. Thank you!
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