3 classes
basic course on mathematics and statistics in modern data analysis
INTRODUCTION TO DATA ANALYSIS: BASIC CONCEPTS
For beginners who want to learn the basics of data analysis

For those who have little experience and want to learn math and statistics for an analyst job

WHAT'S IN STORE FOR YOU ON THE COURSE?

  • 3 classes in a recording which you can take at your convenience.
  • Put your math and statistics knowledge into practice with homework assignments
  • Get helpful materials for self-study of math and statistics from the course instructor
  • Receive a certificate upon successful completion of the course
AS WELL AS THE COURSE YOU'RE ON:
Gain a basic understanding of analyst tasks that can be solved using math and statistics
Learn to navigate the basics of math and statistics to analyze data
Become familiar with exploratory data analysis (EDA)
What is EDA?
EDA, or Exploratory Data Analysis, exploratory data analysis is the first and most important step in any data science task, it helps the analyst to understand changes in the data. Knowledge of EDA is critical for a future analyst.
Educator
Georgy Milyutin
Master of Applied Mathematics and Computer Science

- Author of courses in probability theory and statistics, lecturer at several universities
- CodeMind Academy instructor.

COURSE PROGRAM
Paradoxes of probability theory

Let's discuss the beginnings of probability theory and look at seemingly uncomplicated problems that are often misleading in a job interview.
How do you calculate the dependency?

In practice, let's understand how the dependence between variables is constructed: what methods of calculating correlation are used and why exactly they are used.
Statistical inference: how to answer the data question
We will discuss the basic principles without which estimation, hypothesis testing, and AB testing are impossible in data analysis.

CHOOSE YOUR PLAN

BEGINNER

50 $ 70 $

  • Access to recorded lessons on the fundamentals of data analysis
  • 🧐 Basic exercises on organizing and cleaning data
  • 📊 Introduction to key data analysis tools (Excel, Google Sheets)
  • 📚 Access to introductory study materials and guides
  • 📝 Weekly quizzes to test your understanding

INTERMEDIATE

150 $ 210 $

  • Live online lessons with real-time support from instructors
  • 🔍 Detailed data cleaning and exploration techniques
  • 📊 Visualizing data trends using charts and graphs
  • 🔧 Hands-on exercises with Python and Jupyter notebooks
  • 📈 Understanding the importance of data distribution and correlation
  • 💬 Weekly Q&A sessions to clarify doubts and engage with instructors

EXPERT LEVEL 🔥🔥🔥

250 $ 350 $

  • Live Zoom lessons and advanced interactive workshops
  • 📊 Exploring advanced data analysis techniques with real datasets
  • 📈 Teaching statistical methods for deeper data insights
  • 🖥️ Creating reports with automated tools like Power BI and Tableau
  • 💼 Industry-level data analysis project involving client-based data
  • 🎓 Personalized career advice and portfolio review
  • 🔗 Access to premium tools and platforms for data analysis

ANSWERING QUESTIONS: