Data Analyst Short Course: Learn Key Skills Fast

Data Analyst Short Course: Learn Key Skills Fast
data analyst

Duration: 20 Hours
Level: Beginner to Intermediate
Mode: Online / In-person / Hybrid

Course Description:

This 20-hour intensive Data Analyst Short Course is designed to equip students with the fundamental skills needed for data analysis in a short period. Whether you’re new to data analytics or looking to refine your skills, this course will provide hands-on experience with industry-standard tools such as SQL, and Python. You’ll learn how to collect, clean, analyze, and visualize data to make data-driven decisions. By the end of the course, you’ll complete a mini-project, demonstrating your ability to work with real-world datasets.

Who Should Take This Course?
  • Who is interested in data analytics and business intelligence
  • Beginners looking to gain hands-on experience with SQL, and Python
  • Students from any backgrounds who want to develop analytical skills
  • Anyone looking to build a portfolio project in data analytics
Learning Path & Course Outline (20 Hours)
Module 1: Introduction to Data Analytics
  • What is Data Analytics?
  • Role of a Data Analyst
  • Overview of Data Analysis Tools (SQL, Python, Tableau)
Module 2: Data Collection & Cleaning 
  • Understanding Data Sources (CSV, Databases, APIs)
  • Data Cleaning Techniques with Python (Pandas)
  • Handling Missing & Duplicate Data
  • Introduction to SQL for Data Extraction
Module 3: Exploratory Data Analysis (EDA) 
  • Descriptive Statistics & Summary Statistics
  • Data Visualization with Matplotlib & Seaborn
  • Identifying Trends & Patterns in Data
  • Business Case Studies & Practical Examples
Module 4: Data Visualization & Reporting 
  • Creating Effective Dashboards in Tableau
  • Data Storytelling & Presentation Best Practices
  • Building Charts & Graphs for Insights
Module 5: SQL for Data Analysts 
  • Introduction to SQL Queries
  • Filtering, Sorting, and Aggregating Data
  • Joins & Subqueries for Data Analysis
Module 6: Real-World Project & Case Study
  • End-to-End Data Analysis Project
  • Applying all learned skills on a dataset
  • Creating a final report & dashboard
Key Takeaways:

✅ Learn the essential tools (SQL, Python, Tableau) used in data analytics
✅ Gain hands-on experience in cleaning, analyzing, and visualizing data
✅ Develop a data-driven mindset and apply skills to real-world problems
✅ Complete a mini-project to showcase your analytical abilities
✅ Receive a certificate of completion

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