About this course
PROFESSIONAL DEVELOPMENT
Data Analysis
Turn raw data into actionable insight — clean, explore, visualize, and model data with confidence using Excel and SQL.
Course Description
This comprehensive Data Analysis course equips you with the practical skills and theoretical knowledge needed to turn raw data into actionable insights. You’ll learn to collect, clean, and preprocess datasets; explore and visualize data using charts and dashboards; apply statistical methods to uncover trends; and build predictive models.
You’ll develop the confidence to tackle data challenges in any industry through real-world case studies and hands-on exercises using tools like Excel and SQL.
What This Course Covers
01Collecting, cleaning, and preprocessing datasets
02Handling missing values, outliers, and data quality issues
03Exploratory data analysis and descriptive statistics
04Building compelling charts, visualizations, and dashboards
05Statistical testing, hypothesis testing, and regression modeling
06Applying Excel and SQL to real-world data case studies
Learning Outcomes
✓Import and clean data from various sources, handling missing values and outliers.
✓Perform exploratory data analysis using descriptive statistics to uncover patterns.
✓Create compelling charts and dashboards to visualize insights.
✓Conduct statistical tests, including hypothesis testing and regression modeling.
Why This Course Matters
Organizations collect more data than ever, but data only creates value when someone can interrogate it, interpret it, and communicate what it means. Professionals who can clean a messy dataset, spot a real pattern, and present it clearly are decisive in every function — from operations to finance to strategy. This course builds that capability from the ground up, using the tools already on your desk.
Who Should Enroll
Data AnalystsBusiness AnalystsFinance ProfessionalsOperations StaffResearchersManagersStudentsCareer SwitchersComments (0)
Introduction to Data Analysis
6 Parts
Introduction
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What is Data and Data Analysis
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Types of Data Analysis
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Processes involved in data Analysis
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Processes involved in data Analysis II
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Skills you need as a Data Analyst
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Excel Basics for Data Analysis
2 Parts
Interface & Navigation
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Basic Excel Functions
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