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55 Reviews
21 Students
Data Analytics Course Highlights
This Data Analytics course introduces fundamental concepts, tools, and techniques for interpreting and analysing data effectively. Covering statistics, data mining, storage, and visualisation, it equips learners with skills to extract actionable insights. Modules include Excel, analytical thinking, and industry-standard tools for comprehensive learning.
Designed for beginners, the course progresses from basic principles to advanced applications, ensuring a structured understanding of data collection, processing, and presentation. By the end, participants will confidently handle datasets, apply analytical methods, and create visual reports, preparing them for further studies or professional roles in data-driven industries.
By completing this course, students gain proficiency in handling structured and unstructured data, using SQL, Python (optional), and BI tools. Whether pursuing a career or enhancing analytical skills, this training bridges the gap between technical knowledge and business intelligence, making it ideal for aspiring analysts, marketers, or managers.
Learning outcome
- Understand core data analytics principles, including collection, storage, and processing.
- Apply statistical techniques to interpret datasets and identify trends.
- Master Excel functions and tools for efficient data manipulation.
- Utilise visualisation software to present findings clearly.
- Develop data-driven decision-making skills for business applications.
Why should I take this course?
- Gain high-demand skills for roles in finance, marketing, and IT.
- Learn industry-standard tools like Power BI, Tableau, and SQL.
- Improve logical thinking and problem-solving with data.
- Enhance career prospects in fast-growing analytics fields.
- No prior experience needed—beginners welcome.
Career Path
- Data Analyst – Interpret business data.
- Business Intelligence Specialist – Develop insights.
- Market Researcher – Analyse consumer trends.
- Database Administrator – Manage data systems.
- Financial Analyst – Forecast economic patterns.
Data Analytics Requirements
- Basic computer literacy.
- Access to a PC with internet.
- Familiarity with spreadsheets (helpful but not mandatory).
Course Curriculum
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Introduction to the World of Data
01:00:00
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Basics of Data Analytics
00:40:00
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Statistics for Data Analytics
01:00:00
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Actions Taken in the Data Analysis Process
00:55:00
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Gathering the Right Information
01:00:00
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Storing Data
01:15:00
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Data Mining
01:00:00
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Excel for Data Analytics
01:20:00
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Tools for Data Analytics
01:20:00
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Data-Analytic Thinking
01:10:00
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Data Visualisation That Clearly Describes Insights
00:45:00
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Data Visualisation Tools
01:00:00
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Assignment – Data Analytics
Offer Ends in
All
Courses for £49-
Duration:12 hours, 25 minutes
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Access:1 Year
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Units:13
