Introduction:

In today’s data-driven world, making informed business decisions is crucial. The Data Analysis for Business training is designed to equip participants with the skills needed to interpret and leverage data effectively to drive strategic business decisions.

Target Audience:

  • Senior Leadership (Managers, C-Suit, Directors)
  • Marketing professionals
  • Sales representatives
  • Operations specialists
  • Project managers
  • Anyone seeking to leverage data analysis for business growth

Course Benefits:

  • Gain a comprehensive understanding of data analysis fundamentals for business
  • Develop practical skills in data collection, analysis, and visualization through hands-on exercises
  • Learn how to use data analysis tools like Excel and SQL for business decision-making
  • Enhance your ability to interpret and communicate data insights effectively
  • Become a data-driven problem-solver capable of optimizing business performance

Course Duration: 

8 week program

Course Format:

The course will be delivered through a blend of interactive learning methods, including:

  • Engaging Lectures: Clear explanations of data analysis concepts and methodologies.
  • Interactive Workshops: Hands-on exercises to solidify understanding and develop practical skills.
  • Real-World Case Studies: Applying data analysis techniques to solve actual business challenges.
  • Data Visualization Workshops: Creating compelling data visualizations to communicate insights effectively.

Course Outline:

  • The power of data in today’s business landscape
  • The data analysis lifecycle: from data collection to decision-making
  • Identifying different types of business data (structured, unstructured, etc.)
  • Understanding common data analysis tools and platforms (Excel, SQL, Power Query, Power BI etc.)

  • Data acquisition methods: internal databases, web scraping, surveys, social media
  • Data cleaning techniques: handling missing values, inconsistencies, and outliers
  • Data transformation methods: formatting data, creating new variables, and data normalization

  • Descriptive statistics: summarizing data with measures like mean, median, standard deviation
  • Exploratory Data Analysis (EDA): understanding data distribution and identifying trends
  • Data visualization basics: creating bar charts, line graphs, pie charts, and heatmaps
  • Introduction to hypothesis testing: testing claims about data to support business decisions

  • Advanced Excel functions and formulas for data manipulation and analysis
  • PivotTables and Pivot Charts: summarizing and visualizing large data sets
  • Power BI introduction: creating interactive dashboards and reports

  • Understanding relational databases and their role in data storage
  • Writing basic SQL queries to retrieve data from tables
  • Filtering and sorting data with WHERE and ORDER BY clauses
  • Joining multiple tables to combine data from different sources

  • Effectively communicating data insights to a business audience
  • Designing compelling data visualizations using storytelling principles
  • Presenting data-driven recommendations with clarity and impact

  • Data privacy concerns and responsible data collection practices
  • Avoiding bias in data analysis and ensuring data fairness
  • Building trust with data-driven insights and ethical data practices

Additional Resources:

Course participants will receive access to all lecture slides, exercise datasets, software tutorials, and additional learning materials.

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