BI analyst - course 82,740 rub. from Netology, training 9 months, Date: August 21, 2023.
Miscellaneous / / December 02, 2023
What does a BI analyst do?
A BI analyst works with data and demonstrates business problems using real numbers. It creates clear reports and visualizations so that businesses make decisions relying not on intuition, but on specific indicators. A BI analyst is an easy entry into the field of analytics: the profession is quite easy to master, and you can develop both vertically and horizontally. During the course, you will learn modern visualization tools, learn how to work with data and present it to business in an understandable way.
Ideal for those who are diving into analytics from scratch
– Anyone who wants to work with data
The course provides the technical basis and tools for starting in analytics from scratch and further development in this area
– Beginner analysts
You will receive tools to move to the middle level and be able to work on more interesting tasks
– Specialists from related fields
Marketers, programmers, product and project managers can expect an upgrade in analytics skills and a new career trajectory
Analytical thinking
Learn to think like an analyst and formulate hypotheses to test. You will understand that analytics is built around data. Get acquainted with the basic analytics tool and be able to conduct simple data analysis in it.
• What is analytical thinking
• Introduction to Google Sheets
• Advanced Google Sheets
• Basic statistics
• Where does the data come from?
• Advanced data visualization
• Python as a data analysis tool
• Machine learning for life
SQL for analyst
Learn to write simple SQL queries to retrieve data from a database without wasting developers or administrators' time searching for the right piece of information. You will learn how to create new tables directly in the database without uploading data to Excel - this will allow you to make reports faster. You will be able to load data into the database and independently deploy a PostgreSQL database to store data in the sections that analysts need. Learn to work with different file formats: create reports in one database with data from web counters, from accounting tables and management reporting.
• SQL Basics
• Deep dive into SQL
• Working with PostgreSQL
• Working with MongoDB
Power BI
You will be able to analyze corporate databases, spreadsheets and text files. Learn to see unobvious patterns between indicators. You will understand how to create visual interactive dashboards for analyzing business metrics online. Learn to identify key product metrics, create dashboards for key metrics without programming, optimize your sales funnel and improve customer experience.
• Loading and converting data
• Modeling and data analysis
• Data visualization. Working with reports
• Publishing data and collaborating with reports
Metrics, hypotheses, growth points
You will learn to work in a team. You will learn who the company's analytics customers are and how to work with different types of customers. Gain basic knowledge of the hierarchy of metrics that will allow you to speak the same language with your colleagues, put forward working hypotheses and build clear reporting.
• Financial metrics
• Marketing and product metrics
• Hierarchy of metrics
• Requirements collection and reporting development
• Formulation of hypotheses. Search for growth points
• Test design, implementation and analysis. Building simple models
• Optimization of reporting
Big Data Analytics
Often a data analyst is needed precisely in those companies that have accumulated their own big data, and the analyst needs to master not only standard tools like statistics and SQL, but also know the basic principles of working with big data, have an understanding of the components of the Hadoop ecosystem and cloud platforms for implementing big data solutions data. We will talk about all this in the module on big data analytics.
• Characteristics and sources of big data
• Culture of data collection
• Basics of working in Hadoop and MapReduce YARN
• Analytics for unstructured data
• Fundamentals of big data storage and processing architecture, types of processing and scaling
• Overview of cloud platforms: AWS, EMR and Azure
• Batch and dynamic data loading
• Laboratory work. Launching programs and working with HDFS
Tableau
Explore complex visualizations and learn how to work with an advanced version of the tool. Learn to work with advanced functions, create dashboards and configure interaction between them. Dive into the basics, familiarize yourself with the interface, learn how to load data and work with basic tools.
• Familiarity with the Tableau framework. Loading data. First dashboard
• Main types of visualizations. Visualization best practices
• Basics of working with calculation fields, filters, sets and groupings
• Using parameters, combining multiple sources
• Complex calculation fields, overview of the main groups of functions
• LOD, Set Actions, Parameter Actions functions
• Development of dashboards. Setting up interaction between visualizations
• Tableau Professional. Connecting to SQL Databases
• Tableau Server Basics
Power Query, Power Pivot, DAX, M
Explore advanced capabilities of Power Query, Power Pivot & DAX tools. Learn to create formulas, functions and visualizations of any complexity, build advanced reports, synchronize with various services - and all this without programming skills.
• The concept of working in Power BI and the basics of working in Power Query
• M language syntax and working with structured data
• Parameterization and work with functions
• DAX Basics
• Context management
• Functions for converting tables and transferring context in the absence of direct communication
• Calculation of subtotals and time analytics functions
• Extracting context information. Formatting the results obtained
• Basics of creating visualizations
• Complex scenarios for creating visualizations
• Expanding Power BI capabilities
Graduation project
In your thesis project, you will apply the acquired skills to solve current professional problems: this could be an interactive dashboard with visualization of business indicators, a set of proposals for optimizing the company's strategy, search and justification of business growth points. You receive a ready-made case for confident growth and transition to a new position. If you don’t have ideas for your own project or access to the necessary data, we will offer a case study in an area of interest to you based on a real dataset of other companies. The thesis is completed independently under the guidance of course experts and consolidates the entire range of knowledge and skills acquired in the program.
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Dmitriy290789
03.03.2021 G.
I really enjoyed the training!
Advantages: Knowledge, material, feedback, practice Disadvantages: Some recorded videos had weak sound Good afternoon! I want to tell you about my training in Netology while everything is fresh! I started with a free course called “Digital start, the first step to a sought-after profession.” It was carried out very well and allowed me to highlight interesting areas for myself. So, I decided to go...
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geyker
03.03.2021 G.
I liked the learning process.
Advantages: Prompt resolution of issues; individual approach. Disadvantages: The pace of learning is, of course, an individual matter, but I would like it to be faster. I entered at the beginning of 2020 to study for the profession of “BI Analyst”, in order to test my own knowledge and fill in the gaps. The training began with a program where the materials were immediately available and could be completed at your own pace, after which mods opened...
Igor_Ru
20.06.2022 G.
This is an opportunity to gain real skills in working with BI analytics tools.
Good afternoon I recently completed my training as a BI Analyst. I believe that the effort, money and time were not wasted. The course consists of several modules and is designed to be completed in 9-10 months. The modules are not interconnected, but as part of the training as a whole, they are given in an order that allows you to gradually accumulate knowledge in the profession. These are the modules you will study: Ana...
I
irinka26rusia
22.02.2022 G.
I recommend
Advantages: Individual approach, quick feedback. Disadvantages: none I highly recommend the BI Analyst course, excellent teaching staff, a lot of practice in each module, work is checked almost on the same day. It is possible to reschedule the course if, due to personal circumstances, it is suddenly impossible to start on time. I decided to take the BI Analyst course during quarantine in order to benefit...
Andrew 007
14.10.2022 G.
Helpful, interesting, professional.
Advantages: Professional training, teachers are active specialists in their companies, rich program, a lot of practice. Disadvantages: I couldn’t find any major cons, the live webinars froze a couple of times, I had to reboot. Hello. In 2021, I thought about getting an additional specialty in the field of IT. I spent a long time choosing, and settled on the choice - Analyst Bi. Then the choice...