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

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

Get acquainted with big data processing technologies, such as Hadoop and Spark, for rapid data processing and analysis.

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

Learn about various skill-certifying certificates that enhance your competitiveness in the job market.

Networking and Career Opportunities

Utilise opportunities to meet and interact with other data analysts, employers, and specialists to expand your network and open doors to new career prospects.

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.

Start your data analyst journey!

Our 10-week curriculum covers all essential topics and skills that aspiring data analysts should acquire.

The programme includes lectures, practical sessions, and demo sessions, allowing learners to apply their knowledge in small projects and create a portfolio to showcase to future employers.

Week 1

Introduction to Data Analyst Work and Learning Programming Languages

  • Introduction to data analyst work: tasks, requirements, and industries (lecture)
  • Learn programming languages: Python and R basics (lecture + practical)
  • Demo session: Examples of data analyst work and use of programming languages

 

Weeks 2-3

Data Collection, Cleaning, and Processing

  • Data collection: web scraping and using APIs (lecture + practical)
  • Data cleaning and preprocessing: Pandas, NumPy, dplyr, tidyr (lecture + practical)
  • Data processing and statistics: statistics and analysis methods in Python or R (lecture + practical)
  • Demo session: Examples of data collection, cleaning, and processing
Weeks 4-5

Data Analysis, Visualisation, and Database Management

  • Data analysis: statistics and analysis methods in Python or R (lecture + practical)
  • Data visualisation: Matplotlib, Seaborn, ggplot2, Plotly (lecture + practical)
  • Database management: Introduction to SQL and database management systems (lecture + practical)
  • Demo session: Examples of data analysis, visualisation, and database management
Weeks 6-7

Big Data Technologies and Web Application Development

  • Big data technologies: Hadoop, Spark, basics of big data processing (lecture + practical)
  • Web application development: Flask (Python) or Shiny (R), design and functionality (lecture + practical)
  • Demo session: Examples of big data technologies and web application development
Weeks 8-9

Cloud Services, Training, and Certifications

  • Using cloud services: AWS, Google Cloud Platform, Microsoft Azure (lecture + practical)
  • Training and certifications: Overview of data analysis training and certifications (lecture)
  • Demo session: Examples of using cloud services and training and certifications
Week 10

Networking and Career Opportunities

  • Creating and Optimising Your LinkedIn Profile
  • Networking: Join data analyst networks and communities (LinkedIn) to find job opportunities, learn from others' experiences, and share your knowledge (lecture)
  • Implementing Practical Projects and Creating a Portfolio: Start with small data analysis projects to apply acquired knowledge and skills in practice (practical session)
  • Demo Session: Examples of Networking and Data Analysis Projects
  • Apply for Data Analyst Positions: Applying acquired skills and knowledge, presenting your portfolio and achievements (lecture)
Explore the curriculum

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.

Enhance your job prospects as a data analyst!
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

Ettevõtluskeskus OÜ is a training card cooperation partner of the Estonian Unemployment Insurance Fund

 
Tools for participating in live online training
  • Computer with webcam
  • Stable internet connection
  • Headphones with microphone
  • Noise-free learning environment during live sessions

Payment by invoice

Please provide invoice information in the appropriate field during registration. We will issue the invoice within 3 working days after registration for the training.

By registering for the training, you agree to Ettevõtluskeskus's terms of use of personal data.

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.