TOP Big Data Courses

Become a professional Big Data analyst and get one of the most sought-after professions in IT. In the program you will learn how to collect, process and visualize data. Gain knowledge of the basics of programming, architecture, algorithms, data structures. You will be able to identify and systematize

• Learn what skills are needed to get started in analytics and Data Science• Learn to use Excel, SQL, Power BI, Google Data Studio to work with data and write your first code in Python• Get a step-by-step guide and learn how to enter the data science field and choose a role in Data Science

The course provides an understanding of approaches to designing data warehouses and their use in heterogeneous enterprise information systems. You will consider the issues of choosing an architecture, implementation methods and maintenance of data warehouses.

A practical online course where you will master the profession of a data analyst from scratch in 6 months at your own pace. You will develop all the necessary analyst skills, learn to work with Python, SQL, Excel, Power BI and become an up-to-date IT specialist.

The purpose of the course is to become familiar with modern approaches to big data analysis. The acquired knowledge and skills will allow students to increase the efficiency of decision-making through competent collection, structuring and application of modern techniques for analyzing large volumes of data: Data – Information – Knowledge – Wisdom: from data to wisdom in acceptance solutions!

Training. The program volume is 72 hours. Distance course. The most sought-after program in terms of the volume of advanced professional competencies required to use technologies and methods for collecting and analysis of large data sets (Big Data) to create a new or improve the efficiency of an existing business in a digital environment economy.

You will learn an in-demand profession from scratch and help businesses make data-driven decisions. Learn to work with BI tools, use Python, SQL and add 3 projects to your portfolio. In a year you will be able to start working as a Junior analyst, at the same time continue taking the course and grow to the Middle level.

4,4

2 review

You will learn to solve business problems using data. First, get the necessary training, improve your mathematics and statistics, and then study SQL, Python, Power BI and in a year you will become a data analyst.

• We will tell you in simple words about Data Science, neural networks, artificial intelligence and other popular phenomena • You will understand what areas exist in the field of working with data, and work with analytics tools in practice • Get a step-by-step guide and find out what you need to start in the field of Data Science

4,6

1 review

The program is dedicated to technologies for working with large volumes of data. Currently, ICT has changed our entire lives - both personal and industrial spheres. First of all, this is due to the accumulation in all areas of human detail of huge amounts of data that need to be able to find, extract, structure, save in a compact form, quickly find the necessary elements, aggregate and analyze. Data analysis can help solve many professional problems, such as: what is the expected demand for a particular product? When was this demand greatest? What are the trends in price changes in the market? Etc. Data science deals with a wide range of topics.

Master Data Science from scratch. Try your hand at data analytics, machine learning, data engineering and decide which direction you like best. In a year you will be able to work as a Junior specialist, and in two years you will become a Middle level professional. Working with data is a process in which each team member performs his own task. An analyst helps make business decisions, an ML engineer trains models, and a Data engineer makes sure everything works. Regardless of the role, everyone programs in Python, understands mathematics, statistics and speaks the language of data. Therefore, sometimes such specialists are simply called Data Scientists.

4,2

7 reviews

The purpose of this course is to introduce students to the theory and practice of deep learning and neural networks in an interactive format. During the course you will be offered several practical tasks. The last assignment is the final practical project. Based on the results of the course, a certificate of completion will be issued, which provides benefits for admission to bachelor's and master's programs at the Faculty of Faculty of Physics and Technology of the Moscow Institute of Physics and Technology.

The purpose of this course is to introduce students to the theory and practice of deep learning and neural networks in an interactive format. During the course you will be offered several practical tasks. The last assignment is the final practical project. Based on the results of the course, a certificate of completion will be issued, which provides benefits for admission to bachelor's and master's programs at the Faculty of Faculty of Physics and Technology of the Moscow Institute of Physics and Technology. The basic stream is intended for those who are taking their first steps in Data Science. A significant part of the course is devoted to the Python language, data analysis libraries and mathematics for Data Science. in the second half we will talk about the general theory of neural networks, as well as about neural networks in computer vision