Content

  1. Top 3 Financial Analytics Courses
  2. Top 3 Product Analytics Courses
  3. 3 Best Data Analytics Courses

Ranking of the best online analytics courses for 2022

Ranking of the best online analytics courses for 2022

Analytics is always at the heart of business, with a competent approach, making up a solid foundation. It is thanks to this basis that it becomes possible to efficiently spend resources, reduce possible risks, and protect your business from unforeseen or emergency situations. For example, using product analytics, you can understand how a consumer interacts with an application or website. And big data, or data analytics, being a new direction, helps to optimize business processes.

Top 3 Financial Analytics Courses

The skills of a financial analyst are in demand in every company planning to scale. A financial analyst is able to correctly assess the situation on the markets, determine the current state of the company, make a forecast and calculate the most profitable solutions.

Skillbox. Financial analyst

The course will teach a competent assessment of the financial condition of the company, the calculation of working capital, how to help the company cope with the problem of debt, drawing up a financial business model, budget analysis.

Who is the course for?

It will be useful for students of economic universities who will learn how to assess the economic situation of a company, draw up financial models, analyze reports, analyze cases. Such a knowledge base will allow you to successfully start in your future career.

Heads of financial organizations will learn about existing approaches to planning and budgeting of the company, learn how to effectively manage business and make decisions.

Those who constantly deal with finances will study in depth the activities of the analyst.Thanks to the acquired skills, there will be a serious chance to significantly increase income.

Entrepreneurs will learn to better understand the financial statements of the company, master long-term planning, learn how not to become bankrupt. As a result, they will be able to better navigate economic issues and confidently manage the budget, according to the objectives of their business.

What the course will teach

The program teaches the following skills:

  • forecasting factors affecting business;
  • analysis of financial reports, comparison of reports of several companies, determination of data manipulation;
  • assessment of the economic condition of the company, risks;
  • principles of building a financial model in Excel;
  • working capital analysis;
  • calculation of business value in case of takeover and merger of companies.

Learning Format

These are 12 thematic modules, 67 video lessons, online lectures and practical tasks based on real cases. Upon graduation, students will receive a Skillbox diploma.

results

After receiving the diploma, the resume will be supplemented with a number of the following professional skills:

  • unit-economy calculation;
  • analysis, reading financial reports;
  • company valuation;
  • construction of financial models;
  • calculation, optimization of working capital;
  • budgeting;
  • analysis of external factors.

The cost is 4,900 rubles. (with a 12 month installment plan).

The term is 3 months.

Advantages:
  • competent presentation of the material;
  • lessons are clearly organized by topic;
  • support of experienced curators;
  • the ability to combine with the main activity;
  • access to all materials;
  • checking homework;
  • many practical tasks;
  • installment payment.
Flaws:
  • not detected.

Netology. financial analytics

The course will help you become a professional who can analyze and correctly use information about the financial situation, as well as contribute to the positive dynamics of the company's growth. Experienced teachers will tell you how to improve business efficiency through the competent use of the results of the financial analysis.

Who is the course for?

It is designed not only for beginners, but also for those who already have a certain level of knowledge and skills in the field of financial analytics.

The program will help streamline knowledge or master a new profession for financiers of related areas - accountants, auditors, treasurers, bank employees.

Beginners will be able to manage financial resources and gain new knowledge for professional growth.

Graduates of the relevant universities will learn more and more about the internal structure of the business, gain practical knowledge for a future career start and effective work with cases.

Novice investors will learn how to properly read a company's financial statements, as a result of which they will be able to accurately determine whether an investment is worth making or not.

What the course will teach

The program teaches the following skills:

  • analysis of financial reports;
  • risk assessment;
  • building a financial model;
  • formation of an investment portfolio;
  • building a system for analyzing financial information;
  • developing a financial strategy.

Learning Format

It takes the form of video lectures, practical online workshops, self-study with the support of curators.

The video lectures cover the key points of the theory. Experts will help in the practice of financial analysis, teach you how to use the main tools. To consolidate the theory, independent homework is provided.In the process, students receive the support of curators and can ask any questions to expert practitioners in a closed Telegram group.

results

At the end of the training, students make a final project on the development of the company's financial strategy, which will be checked by the thesis supervisor. Later, this project can be added to your portfolio to demonstrate to a future employer. Qualification will be confirmed by relevant documents.

The cost is - 64,615 rubles, or 3,500 (when paid in installments).

The term of study is 4 months.

Advantages:
  • updating knowledge on financial modeling;
  • rich theoretical base;
  • modern knowledge;
  • experienced mentors;
  • convenient format;
  • systematized material;
  • a lot of self-study.
Flaws:
  • there is no individual consultation of the teacher.

geekbrains. Faculty of Financial Analytics

It trains future specialists who can evaluate financial performance, know where to find sources of income and see opportunities for the company's growth. A professional financial analyst knows how to make sure that the business is always in the black.

Who is the course for?

Beginners in the field of analytics. Students will learn how to build financial models, analyze economic reporting, forecast, improve financial efficiency.

Novice financiers who want to acquire a set of knowledge and develop existing skills in working with financial statements, as well as master advanced methods, standards, and tools in practice.

Economists, accountants who want to learn how to read the financial performance of an enterprise, as well as master a new line of business.

Project managers who are interested in understanding the processes taking place in business, identifying growth points, studying the cases of the largest organizations.

What the course will teach

  • analysis of the financial performance of the enterprise;
  • building financial models;
  • conducting operational analysis of financial reports;
  • search for growth points, increase of economic efficiency;
  • development of methods for regulating financial results;
  • building plans, forecasting the budget and balance.

Learning Format

Each student receives the support of a curator throughout the course. Homework and practical assignments are checked by teachers who answer all students' questions and provide explanations for difficult points.

A closed Telegram group makes it possible to always be in touch with classmates, share experiences and just chat.

A personal HR manager is engaged in the employment of a graduate, selects suitable vacancies and helps to prepare for an interview.

The thesis is a case for which it is required to build a financial model and defend the project.

results

After completing the course, graduates will receive an electronic certificate and a diploma of professional retraining. All graduates who have done at least 75% of their homework are guaranteed employment and good recommendations.

The cost is - 3 458 rubles / month (when paid in installments).

The term of study is 11 months.

Advantages:
  • accessible supply of material;
  • relevance and up-to-dateness of information;
  • fast feedback;
  • high professionalism of teachers;
  • convenient format;
  • effective rich webinars;
  • convenient chat in Telegram.
Flaws:
  • high price.

Top 3 Product Analytics Courses

A product analyst collects and analyzes data about consumer interactions with a product, for example, with an application or website: how much time the user spent on the page, which active buttons were used. As a result of the received data, it is possible to manage the business, focusing on the needs of the user.

Skillbox. Product analytics

After completing this course, you can learn how to work with information, research a product and solve key business problems. Becoming a product analyst, you can study any product in detail to make it better and your business more successful.

Who is the course for?

Beginners and novice analysts will be able to improve their knowledge, understand the basic methods of interacting with data.

Managers, leaders will understand how to work with Python and web analytics, learn how to evaluate product development and its effectiveness.

Programmers and data analysts will be able to analyze the product and evaluate it by metrics through the program code.

What the course will teach

  • conducting product research, mastering the main analytics tools, building product metrics;
  • analysis of user behavior and ways to predict their behavior;
  • launching A/B tests, conducting research and evaluating their results;
  • ability to deal with complex cases;
  • solving business problems;
  • ways to improve the product by strengthening its weaknesses and influencing growth points;
  • demonstration of the results of the analysis.

Learning Format

The program includes 13 modules on various topics and 52 video lectures, practical exercises, video tutorials, curator support. Upon completion of the course, students defend a thesis project, which will then be included in the portfolio.

results

Graduates receive the following professional skills:

  • knowledge of the main product metrics: Retention, MAU, DAU, proxy metrics;
  • building a funnel using Google Analytics, Yandex.Metrica and tables;
  • data research, interpretation and validation of analysis results;
  • cohort analysis, product analytics with Python;
  • preparation of reports and presentations;
  • solving business problems;
  • conducting A/B tests.

In confirmation of the complete completion of the course, graduates receive a diploma.

The cost is 4,900 rubles per month (payment in installments).

The term of study is 4 months.

Advantages:
  • competent presentation of information;
  • experienced teachers;
  • examples of ongoing projects;
  • support of curators;
  • Discounts and payment in installments apply.
Flaws:
  • no guarantee of employment.

Netology. Product Analyst

The course is designed to teach how to create a product in demand on the market, automate workflows using Python and Tableau, build analytical models and test hypotheses. Future product analysts will learn to master all the necessary tools for researching consumer behavior data.

Who is the course for?

Beginners who master a new profession will learn how to conduct research, analyze metrics, and study consumer behavior.

Marketers will be able to use analytics to increase traffic, as well as use Python to analyze large amounts of data.

Product managers and product owners will learn how to test hypotheses and apply analytical tools to improve the product.

What the course will teach

  • skills for middle product analysts;
  • autonomy, independence from developers;
  • processing data from Google Analytics, SQL, Google Sheets;
  • data analysis of mobile applications and websites;
  • the use of the obtained data in the management of strategy and advertising;
  • analysis of user metrics, identification of weak points of the product to improve performance;
  • automation and optimization of activities with Python;
  • information visualization with Tableau.

Learning Format

The program contains theoretical and practical parts. The theoretical part consists of webinars and video lectures. The practical part contains homework, as well as the final graduation project. Throughout the time, students are accompanied by curators, whose support can be obtained in a special closed channel. The Career Development Center helps graduates write resumes and find vacancies.

results

  • mastering a new specialization and experience working with real cases;
  • big data analysis from different sources;
  • data visualization and reporting;
  • development of dashboards;
  • business performance assessment;
  • conducting A/B tests and testing hypotheses;
  • application of applied mathematics in analytics and marketing;
  • using Python and Data Science libraries.

The cost is 3,725 rubles/month (payment in installments).

The term of study is 10 months.

Advantages:
  • guaranteed employment;
  • portfolio of projects;
  • fast feedback;
  • saturation of the program;
  • reasonable cost;
  • employment assistance.
Flaws:
  • there are no personal consultations of teachers.

geekbrains. Product Analyst

An online course that allows you to master a new specialization from scratch, from basic analysis to data processing with Python and SQL. Graduates will learn how to collect and process user behavior data, analyze metrics and find business growth points.A product analyst specialist is in demand in large companies interested in improving the quality of their product and increasing project efficiency.

Who is the course for?

For novice analysts who do not have experience, mastering the basic tools will allow you to start your career.

Marketers and product managers will be able to implement analytics tools in their activities and determine the most effective solutions for business development.

Web analysts and UX designers will study the metrics in depth and will be able to work directly with the product and ways to improve it.

Experienced business leaders will learn to identify project growth points and build a system of metrics.

What the course will teach

In the process, students will master the necessary skills and tools of a product analyst - Power BI, SQL, OWOX, learn the basics of Data Science and Python.

HR-specialists will help in preparing a resume and searching for suitable vacancies, as well as in preparing for an interview.

Learning Format

The course consists of 70% webinars with teachers who can ask questions and get quick feedback.

Training is conducted by practitioners who are constantly working to improve their knowledge. Curators will help you get comfortable in your personal account, as well as answer any questions. You can also get the support of a graduate curator.

In practical classes, students will learn how to solve problems of a product analyst and complete 4 projects that will be included in the portfolio.

Each student gets access to the GeekBrains chat and community, where they can make useful contacts. In addition, students will be able to attend closed online or offline events as speakers or listeners.

HR-specialists will help in writing a resume and preparing for an interview.

results

Graduates will master the following skills:

  • study of product hypotheses;
  • calculation of Unit-economy and LTV;
  • work with Google Analytics, Yandex.Metrica and AppMetrica;
  • building models, forming hypotheses to improve the quality of the product;
  • conducting A/B tests;
  • construction of CJM;
  • assessment of the market capacity;
  • conducting a SWOT analysis;
  • knowledge of SQL, Python, Power BI.

The cost is 3,738 rubles per month (payment in installments).

The term of study is 12 months.

Advantages:
  • demanded trade;
  • fast feedback;
  • guaranteed employment;
  • competent presentation of the material;
  • support of curators;
  • experienced professional teachers.
Flaws:
  • high price.

3 Best Data Analytics Courses

Data analytics, or big data, is a new, in-demand profession that is gaining popularity. Data analysts work with large amounts of information, the analysis of which allows you to optimize business processes and help the company make the most correct decision.

Skillbox. Profession Data Scientist: data analysis

The course is aimed at learning the profession from scratch and mastering its basic tools: Power BI, Python and SQL. Future specialists will learn how to collect and analyze information, search for anomalies in metrics, identify patterns, build and test hypotheses, as well as visualize the results of research.

Who is the course for?

Beginners will get acquainted with the basic theory and basic tools of the analyst.

Analysts interested in advanced training will be able to study their profession in detail and learn how to work with Python, SQL and Power BI.

Marketers, businessmen and product managers will learn how to make decisions aimed at the development of advertising and product, based on the study of data.

Developers who want to change direction will learn how to identify business needs, as well as how to use programming to solve business problems.

What the course will teach

  • communication skills with the customer, the rules for conducting interviews;
  • transferring a business task into a research one;
  • understanding the key issues of business, support, product maintenance, marketing and sales;
  • preparation of data for analysis, the ability to collect and process information from files, APIs, databases;
  • identifying anomalies and outliers in data;
  • research, cohort analysis, forecasting;
  • formulating and testing hypotheses;
  • visualization of results using Python libraries plotly, matplotlib;
  • presentation of results to the customer, formulation of conclusions, preparation of reports;
  • working with the audience, managing its attention, the ability to competently criticize and perceive criticism.

Learning Format

The material is presented through six modules of varying complexity. These are online lectures, video tutorials, practical tasks, work with real projects. At the end of the course, students defend a graduation project, after which each graduate receives individual advice regarding a career, as well as assistance in compiling a resume and portfolio. HR-specialists will help in finding vacancies and preparing for an interview.

results

After completing all the practical tasks, the resume of graduates will be supplemented with the following skills:

  • data visualization;
  • development of dashboards;
  • work with libraries, Python and R languages;
  • conducting A/B tests.

The cost is 3,960 rubles per month (payment in installments).

The term of study is 14 months.

Advantages:
  • demand for the profession;
  • fast feedback;
  • high ranking of the online school;
  • guaranteed employment;
  • state diploma;
  • interesting presentation of the material;
  • opportunity to make useful contacts.
Flaws:
  • not detected.

Netology. Big Data from scratch

The course will teach you how to work with large amounts of data and help you expand your existing knowledge of the analytics profession by mastering new tasks. As a result, there is a serious opportunity to move to a new level in your specialty and supplement skills and abilities.

Who is the course for?

To all those who are interested in improving their IT literacy, improving their professional abilities and career growth. The program is designed for those who are already involved in the field of analytics and have basic knowledge.

What the course will teach

  • proper selection and management of the project team;
  • working with CRISP-DM (Cross-Industry Standard Data Mining Process);
  • creating a strategy for working with a large amount of information;
  • search for tasks for big data in the organization;
  • improving data mining results;
  • information storage rules.

Learning Format

The program includes practical sessions with experts (from 8 hours per week), during which the key tools will be mastered. Networking is an imitation of remote work on a real project. The course also includes labs covering the area of ​​expertise from loading data to building a model. Homework and tests are checked by teachers, who provide explanations for difficult points.Webinars are held twice a week, and the acquired knowledge is consolidated through practice. At the end of the course, students defend their graduation project, and the Career Development Center will help you create a competent resume and assist in finding a job.

results

A graduate resume will be supplemented with the following knowledge:

  • data collection, their preparation for subsequent analysis;
  • making predictions based on information in MapReduce (collaborative filtering);
  • understanding of business tasks, customer requirements;
  • gathering and organizing the work of the project team;
  • building data models obtained from different sources - sites, databases, tables;
  • selection of the most suitable architecture for the project;
  • working with Hadoop and MapReduce;
  • improving the efficiency of decisions.

The cost is - 2 485 rubles / month (payment in installments).

The term of study is 2 months.

Advantages:
  • assistance of a coordinator and mentor;
  • mastering a highly paid profession;
  • the demand for the specialty;
  • high school rating;
  • guaranteed employment;
  • obtaining a diploma.
Flaws:
  • personal consultations with experts are not provided.

geekbrains. Faculty of Big Data Analytics

Here they will teach how to collect and analyze data, extract important information from them and the ability to find patterns. The future Big Data specialist will be able to test hypotheses and help businesses make important decisions, launch a product, and plan further development.

Who is the course for?

Beginners will master data analytics, even if they have no IT knowledge.

Novice analysts will receive a set of knowledge and practical experience necessary for advanced training, as well as get acquainted with the tools.

Practicing IT-specialists will be able to master the profession in demand and increase their income.

What the course will teach

Here they will provide the necessary knowledge and skills in big data, help to draw up a competent resume. The employment center will help you find suitable vacancies, prepare for an interview.

Learning Format

Lessons are held 1 to 2 times a week in the form of online meetings and lectures, webinars, group and homework assignments. The portfolio will be supplemented with 10 projects. During the whole time, students will receive the support of teachers who will answer any questions, share their experience and practical knowledge. The curators will help you to get used to the site, will be in touch throughout the training, and practicing experts will check your homework. Also, students can get additional support from a graduate-mentor, exchange experiences with classmates in a chat. At the end, graduates will receive a diploma of professional retraining.

Your resume after training

Graduates will master the following key skills:

  • methods of big data analysis, machine learning, applied statistics, probability theory;
  • working with Hadoop, Hive, Spark, Hue, HBase, Kafka, Spark Streaming;
  • knowledge of SQL and NoSQL DBMS;
  • working with Power BI;
  • generation of analysis reports;
  • programming in Python and working with NumPy, Matplotlib, scikit-learn.

The cost is 4,989 rubles per month (payment in installments).

The term of study is 18 months.

Advantages:
  • guaranteed employment;
  • state diploma;
  • support of experts, mentors, curators;
  • high school rating.
Flaws:
  • high price.

Online analytics training will allow you to get a new profession or improve your skills without wasting time traveling to the place of training. The main thing is to choose the right course.

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