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Introduction to Data Analysis
Rating: 4.1 out of 5(304 ratings)
4,241 students

Introduction to Data Analysis

Data Analysis
Created byManar Alzoubi
Last updated 5/2025
English
English [Auto],

What you'll learn

  • Define what data analysis is and why it’s essential across industries.
  • Describe the role and responsibilities of a data analyst.
  • Identify the types of data and key terms used in the data world.
  • Understand the basic tools used in data analysis like Excel, SQL, and Power BI.

Course content

1 section • 17 lectures • 33m total length

  • Introduction1:16

    Explore what data analysis is, why every company needs it, and the data types and tasks a data analyst handles using simple, non-technical explanations. Real-life examples illustrate these ideas.

  • Why to learn data analysis1:52

    Learn how data analysis turns everyday data into insights that drive smart decisions across industries, from pricing and products to marketing and healthcare.

  • What is data analysis1:57

    Collect, organize, and check data to reveal patterns and trends; clean, explore, visualize, and interpret to support decisions based on facts.

  • The role of data analyst2:05

    Data analysts collect, clean, analyze, and visualize data from surveys, websites, social media, and sales, using Excel or Python to uncover trends and advise budget decisions.

  • Typs of Data1:42

    Identify and compare structured, unstructured, quantitative, and qualitative data, with examples like Excel tables, photos, tweets, prices, and ratings, to guide data analysis choices.

  • Key Terms3:11

    Learn to identify datasets, variables, observations, and outliers, and distinguish correlation from causation while identifying the mean, median, and mode.

  • DataAnalysis Process part11:59

    Learn the data analysis process as a detective: ask specific questions, collect internal and external data, and assemble evidence to reveal patterns and support decision making.

  • Data Process part21:59

    Clean real-world data by removing duplicates, fixing errors, and standardizing formats to ensure accurate charts. Then analyze with averages, trends, and region grouping using Excel, Python, or SQL.

  • DataAnalysis Process part 31:50

    visualize data with charts such as line, bar, pie, and heatmaps in dashboards using Excel and Power BI to reveal insights, answer questions, and drive decisions.

  • Tools part12:33

    Discover the essential data analyst toolbox, starting with Excel and SQL. Learn how Excel sorts, filters, uses formulas, pivots, and charts, and how SQL queries databases to extract insights.

  • Tools part21:57

    Learn Python for data analysis with pandas, matplotlib, and seaborn to filter, clean, and group big data, and create interactive Power BI dashboards linked to Excel, SQL, or live data.

  • Incentivize0:23

    Begin with Excel, then advance to SQL, Python, and Power BI, and by course end you will know and use these tools.

  • Carrers part12:34

    Explore data analysis career paths, from business, marketing, and product analysts to freelancers, and see how data-driven insights improve inventory, campaigns, and user engagement.

  • Careers part21:05

    Discover how data analysis improves patient outcomes and hospital efficiency by tracking treatment success, predicting disease trends, and optimizing clinic scheduling, helping reduce readmissions.

  • Learning path3:17

    Follow this learning path to become job-ready in data analysis by mastering Excel, SQL, Python, and data visualization with Power BI or Tableau through hands-on projects.

  • What is the next2:17

    Learn to use Excel for data analysis by cleaning and preparing messy data, applying if functions for decision making, building pivot tables, and creating charts to tell data stories.

  • Done!1:59

    Learn to collect, clean, explore, and interpret data to inform decisions, handling datasets, variables, and outliers, with quantitative, qualitative, structured, and unstructured data using Excel, SQL, Python, and Power BI.

Requirements

  • No prior experience or tools needed, just a willingness to learn and explore the world of data.

Description

Are you curious about data analysis but don’t know where to start?

This free course is your first step into the exciting world of data analysis, with no prior experience, no coding, and no software required. Whether you're a student, career changer, or complete beginner, this course will help you understand what data analysis is, why it's important, and how it’s used in business, tech, healthcare, and everyday decisions.

In this course, you’ll learn:

  • What data analysis means (in simple language)

  • Why data is called "the new oil" in today’s world

  • The types of data (structured, unstructured, qualitative, quantitative)

  • The role and responsibilities of a data analyst

  • Key tools used in the field: Excel, SQL, Python, and Power BI

  • A clear learning path to become a job-ready data analyst

This course is designed to motivate and guide you, not overwhelm you. It will give you the foundation to confidently continue learning tools like Excel, SQL, and beyond.

If you've been asking, “Where do I even begin with data?” This course is your answer.

Enroll now and take your first step into the world of data analysis, and open doors to countless new career opportunities.

From Data To Insight With Manar Alzoubi


Who this course is for:

  • Beginners curious about data analysis, career changers, or anyone who wants to understand how data is used in business and tech.

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