What I will learn?
- Data Analysis Foundations: Understand the role of a data analyst, types of data, and how data supports business and operational decisions.
- Data Cleaning & Preparation: Learn how to clean, structure, and prepare raw data for analysis, ensuring accuracy and reliability.
- Exploratory Data Analysis (EDA): Analyze datasets to identify patterns, trends, and relationships using analytical techniques.
- Data Visualization & Reporting: Create clear charts, dashboards, and reports that communicate insights to technical and non-technical stakeholders.
- Business & Industry Applications: Apply data analysis skills to real-world scenarios across industries such as healthcare, finance, marketing, operations, and technology.
- Applied Data Analysis Project: Work on an individual project that demonstrates your ability to analyze data and present actionable insights.
Course Objectives
By the end of this course, students will:
- Understand the core responsibilities of a Data Analyst
- Work confidently with structured datasets
- Clean and prepare data for accurate analysis
- Perform exploratory data analysis to uncover insights
- Visualize and present data effectively
- Support data-driven decision-making in business contexts
- Complete an end-to-end data analysis project
Module Breakdown
Introduction to Data Analytics
4 topics
- Role of a Data Analyst
- Types of data and data sources
- Data-driven decision-making
- Overview of the analytics lifecycle
Data Collection & Preparation
4 topics
- Data formats and structures
- Data cleaning and preprocessing techniques
- Handling missing, inconsistent, and duplicate data
- Data quality and validation
Exploratory Data Analysis (EDA)
4 topics
- Descriptive statistics
- Identifying trends and patterns
- Correlation and basic analysis techniques
- Drawing insights from data
Data Visualization & Reporting
4 topics
- Principles of effective data visualization
- Charts, dashboards, and reports
- Communicating insights clearly
- Presenting data to stakeholders
Business Use Cases & Industry Applications
3 topics
- Data analytics in finance, marketing, healthcare, and operations
- KPI tracking and performance analysis
- Case studies and practical examples
Individual Data Analysis Project
4 topics
- Define a business problem
- Analyze real-world datasets
- Visualize findings and insights
- Present a structured data-driven solution
By the End of This Course...
- A solid foundation in data analysis concepts and practices
- Hands-on experience working with real datasets
- Strong data visualization and reporting skills
- An individual project showcasing end-to-end data analysis
- Increased confidence to work in data analyst or analytics-support roles
- A foundation for advanced study in data science or business intelligence
Requirements
- No prior data analytics experience required
- Basic computer literacy
- Interest in data, numbers, and problem-solving
- Access to a laptop or desktop computer
- Stable internet connection
Material Includes
- Curated course slides and learning materials
- Practical datasets for analysis
- Real-world case studies
- Project guidelines and templates
- Access to recommended analytics tools (where applicable)
- Certificate of Completion
Who Can Join This Course?
- Beginners & Students looking to start a career in data analytics
- Working Professionals seeking data skills for business or technical roles
- Business Analysts & Managers who want to improve decision-making using data
- Engineers & IT Professionals transitioning into analytics roles
- Career Switchers exploring opportunities in data, analytics, and business intelligence
Pricing Plans
£500.00
- Course access for 3 months
- Email support
- Course completion certificate
- Access to course materials
£750.00
- Course access for 6 months
- Priority email support
- Course completion certificate
- Access to course materials
- 1-on-1 mentor session
- Project review and feedback
£950.00
- Lifetime course access
- Dedicated mentor support
- Course completion certificate
- Access to all course materials
- Unlimited 1-on-1 mentor sessions
- Project review and feedback
- Career guidance and job referral support
- Exclusive community access
Build the skills that power data-driven decisions.
Start your journey as aData Analystand turn data into insight, impact, and opportunity.
