DATA ANALYSIS
Data is the new oil—and the ability to analyze it effectively is one of the most valuable skills in today’s job market. Whether you're working in business, health, finance, research, or tech, understanding how to analyze and present data gives you a competitive edge.
At Codinex, we offer comprehensive Data Analysis Training, tailored for both beginners and professionals. You’ll learn to work with data using tools like Microsoft Excel (Basic to Advanced) and Python, one of the world’s most powerful data languages.
Track 1: Data Analysis with Excel (Basic to Advanced)
Excel remains one of the most widely used tools for business and organizational data analysis. Our Excel course goes beyond basic spreadsheet use and dives into powerful analytical techniques.
What you'll Learn
Basic Excel
Understanding the Excel interface
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Formatting cells, rows, and columns
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Sorting and filtering data
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Basic formulas and functions (SUM, AVERAGE, IF, COUNT)
Intermediate Excel
Advanced functions (VLOOKUP, HLOOKUP, INDEX & MATCH)
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Conditional formatting
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Data validation
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Working with multiple sheets
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Charts and visualizations
Advanced Excel
Pivot Tables and Pivot Charts
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Data modeling and Power Query
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Dashboard creation
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Scenario analysis using What-If tools
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Macros and basic VBA automation
Track 2: Data Analysis with Python
Python is the go-to language for modern data analysis, offering unmatched flexibility and power. Our training introduces you to data manipulation, visualization, and statistical analysis using Python libraries.
What you'll Learn
Python Programming Essential
- Writing clean Python code
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Variables, data types, conditionals, loops, and functions
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Working with files and basic automation
Data Analysis Libraries
- Pandas: Load, clean, and manipulate data (CSV, Excel, SQL, etc.)
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NumPy: Perform fast numerical computations
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Matplotlib & Seaborn: Create insightful visualizations and charts
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OpenPyXL: Automate Excel reports using Python
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Scikit-learn (Intro): Basic data modeling and predictions
Practical Projects
Analyzing company sales data
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Cleaning and visualizing survey or academic data
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Automating Excel reports
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Tracking trends using public datasets (e.g., COVID-19, finance)
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Building a simple data dashboard with Python
🎯 What You Can Do with Excel Skills:
Create business and finance reports
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Track inventory and sales performance
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Build HR attendance or payroll systems
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Analyze survey or research data
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Develop visual dashboards for presentations
Perform complex data cleaning and analysis
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Automate repetitive data tasks
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Generate insightful reports with dynamic charts
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Prepare data for machine learning and AI applications
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Solve real-world problems in business, health, and research
Business and finance professionals, Researchers and data entry clerks, University students and graduates Professionals transitioning into data-related careers, Anyone who works with data and wants to make better decisions.