Data Analysis Assistant

Tyne Academy

Certificate of completion

Digital certificate - Included

Reed Courses Certificate of Completion

Digital certificate - Included

• Data Analysis Assistant 2:52:30

  • 1: Data Analysis Module 01 Introduction to Data Analysis 15:50
  • 2: Data Analysis Module 02 Mathematics and Statistics 17:00
  • 3: Data Analysis Module 03 Data Manipulation 20:07
  • 4: Data Analysis Module 04 Data Visualisation 15:00
  • 5: Data Analysis Module 05 Data Wrangling 12:03
  • 6: Data Analysis Module 06 Data Exploration 11:00
  • 7: Data Analysis Module 07 Machine Learning Fundamentals 32:00
  • 8: Data Analysis Module 08 Machine Learning Algorithms 22:00
  • 9: Data Analysis Module 09 Data Analysis with Python and Libraries 18:30
  • 10: Data Analysis Module 10 Data Analysis with R and Libraries 09:00

In today's competitive landscape, data analysis is at the core of effective business operations. The Data Analysis Assistant course is designed to equip you with the tools and knowledge to extract, analyse, and report on key business metrics. You’ll learn how to navigate Google Analytics to interpret website traffic and customer behavior, while Power BI will be used extensively to visualise complex datasets for enhanced business decision-making.

From understanding the fundamentals of data analysis to applying these principles using Google Analytics and Power BI, the course covers the full spectrum of data workflows. You will explore key data types, business metrics, and reporting techniques that are vital in industries ranging from marketing to finance.

The course offers a practical approach to business analytics. Through working with real-world data, learners will gain experience in identifying patterns, constructing dashboards in Power BI, and making data-backed business recommendations. Special focus is placed on transforming digital data from Google Analytics into actionable insights that inform strategic business choices.

By repeatedly applying data analysis methods using both Google Analytics and Power BI, you’ll become comfortable turning raw numbers into business value. Whether it’s customer segmentation, trend analysis, or performance reporting, the course prepares you to operate as a critical support role in any business environment.

Key focus areas include:

• Data analysis and its role in business intelligence

• Using Power BI to create compelling dashboards

• Extracting and interpreting reports from Google Analytics

• Understanding key business KPIs and data-driven decision-making

• Building business cases using analysed data

• Communicating findings to business stakeholders effectively

With Google Analytics and Power BI used in almost every module, you will develop fluency in these tools, essential for modern data analysis roles in business settings.

This course is ideal for aspiring professionals aiming to launch or advance their careers in business and data analysis. It is suitable for those looking to understand how data impacts business performance and who want to learn how to use platforms like Google Analytics and Power BI effectively. Whether you're entering the business field for the first time, switching from a non-technical background, or looking to support existing business functions with data analysis, this course offers the right blend of analytical frameworks and practical tool usage.

There is no formal prerequisite for this Data Analysis Assistant course.

Graduates can pursue roles such as Data Analysis Assistant, Business Analyst, Reporting Analyst, Google Analytics Specialist, Power BI Developer, or Business Intelligence Support within a range of industries including marketing, e-commerce, finance, and operations.

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