IT-Certificates

COURSERA
- Automate tasks by writing code in Python; - Use Git and GitHub for version control; - Management of IT resources on the scale of physical and virtual machines in the cloud; - Analyze real IT problems and implement appropriate strategies to solve these problems
COURSERA
- Monitor the project process (empathize with users, identify pain points, find solutions, create prototypes, create and replicate designs); - Understand the basics of UX research, such as planning research, researching intervals and usability, and synthesizing research results. - Apply UX-based concepts such as user-friendly design, accessibility and design for equality. - Creating a professional UX portfolio that includes three projects: mobile app, fast websites and cross-platform experience.
COURSERA
"Data mining" "use of Excel spreadsheets to perform various tasks in order to analyze data, such as creating spreadsheets; - Completion of data analysis processes such as data preparation, statistical analysis, predictive modeling using R, R Studio and Jupyter; - Create relational databases and tables using SQL and R from JupyterLab, create query data, sort, filter and set sets of results. - Linking data results with Cognos and R Shiny using a variety of data visualization methods, including diagrams, plots, and interactive control panels.
COURSERA
Demonstrate the ability to use spreadsheets and use Excel to perform various data analysis tasks such as "Data wrangling" "and" Data mining "; - Work with IBM Cognos Analytics to create a variety of graphs and charts and panels in Excel. Presenting data using Python libraries such as Matplotlib. - Develop knowledge of Python language to analyze data and output APIs and web services using Python libraries such as Pandas and Numpy. - Describe the data ecosystem and create queries to access data in cloud databases using SQL and Python from Jupiter notebooks.
COURSERA
- Development of knowledge about cybersecurity analysis tools, including data protection; endpoint protection; SIEM; and systems and network fundamentals. - Knowledge of important compatibility and dangerous intelligence issues in today's cybersecurity en
COURSERA
Study of different types of work of "Data Science" and "Data Scientist" and methodology of thinking and processing as a data scientist. - Import and visualize data sets, as well as build and evaluate machine learning models using Python - Apply a variety of data learning skills, techniques and tools to complete the project and publish the report. "