The course is aimed at beginners, programmers and aspiring analysts who want to learn the basics of data analysis, machine learning and model building. The program combines theory, practical assignments and work on real projects . Which allows students not only to gain knowledge but also to build a portfolio of 9 projects.
The course starts with the basics .
Students learn Python, SQL . And the basics of working with data. They learn how to extract data from various sources, clean it, and prepare it for laos telegram data analysis. Particular attention is paid to mathematics and statistics: course participants master probability theory, statistical tests, and data analysis methods. This knowledge becomes the basis for further study of machine learning.
In the next stage, students dive into machine learning. They start with simple regression and classification models and then move on to more complex clustering algorithms and neural networks. The practice includes developing models for revenue forecasting . Cohort data analysis, and building recommendation systems. Students also master data visualization tools such as Power BI and learn to present the results of their analysis in the form of dashboards.
The program offers two specialization areas
Machine Learning (training models for forecasting and working with neural networks) and Data Analyst (deep data analysis, marketing and speeding up delivery: mastering ecommerce shipping speed product analytics). Depending on the chosen path, students deepen their knowledge in the relevant areas and complete projects on sales analysis, A/B testing or creating ML models.
An important part of the course is preparation for employment. The Skillbox career center helps students create a resume, create a portfolio, and prepare for interviews. Course graduates gain access to closed vacancies of the platform’s partners . Which increases their chances of successfully starting a career in Data Science.
6. “Profession Data Scientist” from Skillbox
A year-long course that allows you to master twd directory the profession of a data specialist from scratch to junior or middle level. The training is based on a consistent immersion in the key aspects of data analysis . Machine learning and working with big data.
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The course begins with the basics of mathematics and statistics, including probability theory, linear algebra . And optimization methods. This knowledge is reinforced by practical skills in Python and SQL, where students are taught how to extract data from databases, process it, and prepare it for analysis. Particular attention is paid to data visualization tools: Power BI, Excel, and Python libraries. This helps students learn how to present the results of their analysis in the form of understandable graphs, dashboards, and reports.
The key stage of the course is dedicated to machine learning.
Students master regression, classification, clustering algorithms and methods of working with neural networks. Practical tasks include creating models for revenue forecasting, sales analysis and building recommendation systems. Specialized areas are also considered . Natural language processing (NLP), computer vision (CV) and working with big data (Big Data).
An important part .
The course is the implementation of eight real projects based on data from Skillbox partners. For example, students analyze changes in the SberMarket mobile application, create credit risk management models for a bank . Or develop document recognition services. These projects form the graduate’s portfolio and demonstrate their skills to potential employers.
The course also includes career support: consultations with HR specialists, assistance in writing a resume, and preparation for interviews. Graduates get access to closed vacancies of Skillbox partners. Thus, the program not only teaches technical skills . But also helps students successfully start a career in Data Science.
7. Data Scientist from Netology
This course is a comprehensive training program aimed at preparing specialists in the field of data analysis and machine learning.
The program begins with the basics of programming and gradually moves to more complex data science concepts. Students master Python as their primary tool, including essential libraries for data analysis.
Key skills students will acquire:
- Python programming and working with databases
- Data analysis and building predictive models
- Machine learning and neural networks
- Working with Big Data
- Building recommender systems
Lots of work on real projects.
Students learn to apply the knowledge they have gained to solve business problems, conduct A/B testing, and analyze the results of experiments. They master the skills of data visualization and presenting the results of analysis.