In today's rapidly evolving technological landscape, data analytics has become one of the most sought-after skills
Our 10-week learning journey, "Fundamentals of Data Analyst", is designed to help you acquire core data analyst skills and create a competitive advantage in the job market.

Are you interested in a data analyst career but unsure where to start? Or are you already in the workforce but wish to acquire new skills and enhance your competitiveness?
Regardless of your background, our 10-week learning journey provides all the necessary tools and knowledge to change your career direction and become a successful data analyst.
Invest in your future - join the programme today!Data analysis is a field suitable for both career changes and skill enhancement.
Our data analyst course is designed to accommodate various demographic groups, including those seeking career changes and new skill acquisition, regardless of age or employment status.
The Data Analyst Fundamentals programme is ideal for those who wish to:

- Acquire core data analyst skills and gain a competitive edge in the job market.
- Transition from another career to data analysis using a flexible and practical curriculum.
- Solve complex problems and are detail-oriented.
- Utilise technological opportunities, such as ChatGPT, which support faster skill acquisition.
Benefits of Becoming a Data Analyst
High Demand
Competitive Salary
Creating Impact
Flexibility
Growth Opportunities
Future-Proof Career
Programme Learning Outcomes
During the Data Analyst Development Programme, you will acquire a range of skills that prepare you for a successful career as a data analyst.

Data Analyst Job Responsibilities and Work Domains
Understand the role of a data analyst across various industries, along with associated tasks and responsibilities.

Learning Programming Languages (RStudio and R Language)
Acquire fundamental skills in R programming language for data analysis and processing.

Data Processing and Statistics
Learn to clean, handle, and analyse data using statistical methods and analytical tools.

Database Management (SQL)
Acquire SQL skills for creating, managing, and querying databases.

Big Data Processing Technologies

Data Visualisation
Learn to use data visualisation tools and techniques to present complex data in a simple and understandable format.

Practical Projects and Portfolio Creation
Apply acquired skills in practical projects that help you create an impressive portfolio for future employers.

Training and Certifications

Networking and Career Opportunities
A Curriculum That Simplifies Complex Topics
Don't fear the beginning! Our programme is designed so that you don't need to know programming or data analysis before starting the course. We'll help you understand and acquire all the necessary skills step by step.
Our 10-week curriculum covers all essential topics and skills that aspiring data analysts should acquire.
The program combines lectures, practical sessions, and demonstration sessions, enabling learners to apply their knowledge through small projects and build a professional portfolio to showcase to future employers.

TOPIC 1
Introduction to Data Analysis: Foundations and Opportunities
We explore the importance of data collection, the role of data in organizational development, and the responsibilities of a data analyst.
- Connect data analysis to company objectives
- Define how data supports better decision-making
- Map essential tools and environments

TOPIC 2
Asking the Right Questions for Data-Driven Decisions
We cover decision frameworks and learn to formulate precise analysis objectives. We structure the use of data in the problem-solving process.
- Apply clear problem definition to keep analysis focused
- Use spreadsheet tools for initial data collection and organization
- Select appropriate methods for fact-based decision making

TOPIC 3
Data Preparation for Analysis
Learn about data collection, evaluation, and structuring. We discuss objective versus biased data and explore database fundamentals.
- Master principles of data quality assessment
- Apply database logic to create a solid structure for analysis
- Systematize data for fast and reliable processing

TOPIC 4
Data Processing: From Dirty to Clean
Identify and remove faulty data, duplications, and inconsistencies. Use basic SQL functions for cleaning and filtering.
- Maintain high levels of data integrity
- Use practical SQL commands to improve data quality
- Verify cleaning process results to ensure a reliable foundation for analysis

TOPIC 5
Data Analysis and Drawing Conclusions
Dive into cleaned data analysis, combine tables, apply functions. Examine how to interpret results when making decisions.
- Connect different data sources for a comprehensive overview
- Apply SQL and spreadsheet formulas to derive practical conclusions
- Analyze patterns and relationships that support fact-based decisions

TOPIC 6
Data Storytelling and Visualization
Learn visualization tools (e.g., Tableau) and fundamentals of data storytelling. Experiment with different presentation techniques to showcase analysis results.
- Create understandable graphs and dashboards
- Structure data into stories that highlight important relationships
- Adapt presentation methods to target audience needs

TOPIC 7
R Programming Fundamentals in Data Analysis Context
Become familiar with R language core components (functions, vectors, data types). Use R Markdown to document results.
- Set up R working environment and write simple scripts
- Apply R functions for data importing, cleaning, and analysis
- Create clear overviews in R Markdown

TOPIC 8
Comprehensive Case Study: Holistic Approach
Apply all previously learned knowledge as a real-world project. Go through the complete data analysis cycle from collection to cleaning and analysis.
- Consolidate learning in a practical project that mimics real work situations
- Showcase your analytical skills in a portfolio-ready format
- Connect different techniques into a complete picture, increasing confidence in daily work

TOPIC 9
Career Opportunities and Entering the Job Market
Focus on customizing LinkedIn profiles and resumes, preparing for job interviews. Discuss how data analysis skills open new opportunities in the job market.
- Customize your profile and application to stand out for data analysis roles
- Apply interview and communication skills to strengthen self-presentation
- Set realistic steps to advance on the data analysis career ladder

TOPIC 10
Final Project, Presentations, and Next Steps
Present completed projects and celebrate program completion. Discuss further development opportunities, including Google voluntary certification.
- Receive direct feedback from both mentors and other participants
- Create useful contacts and networks for future collaborative projects
- Plan next development steps to continue using and improving data analysis skills
This Data Analyst Development Programme is suitable for various individuals and roles who wish to expand their skills, change careers, or increase their competitiveness in the job market.
Job seekers
Career changers
Business and marketing professionals
IT specialists
Small business owners and entrepreneurs
Finance and banking professionals
Scientists and practitioners
Students and Recent Graduates
START TODAY!
Don't let this excellent opportunity pass you by!
Register for our 10-week development programme "Fundamentals of Data Analyst: A 10-week learning journey for beginners to acquire skills and create a competitive advantage in the labour market" and begin your journey to becoming a data analyst. It's an excellent investment in your future, providing you with more secure job opportunities and higher income potential.
The dates for upcoming trainings are marked in the "Register" form
14-Day Money-Back Guarantee
We look forward to welcoming you to our programme and helping you achieve your career goals! To register, visit our website and click the "Register Now" button. Start your data analyst journey today and take the first step towards a future where you can create value and make significant contributions in a rapidly changing world.