IBM Data Analyst Complete Course

In this comprehensive video, we explore the modern data ecosystem and the role of data analytics. Starting from the data analyst role, we delve into the language for data professionals and understanding data repositories and big data platforms. We then move on to the process of gathering, wrangling, analyzing, and mining data, and communicating data analysis findings.

The video also covers Excel basics for data analysis, including an introduction to spreadsheets for data analysis, getting started using spreadsheets, basics of data quality and privacy, cleaning data, and data analysis basics such as filtering and sorting data. We also explore using pivot tables.

The section on data visualization and dashboards covers creating charts, advanced charts, and dashboards using spreadsheets, as well as using IBM Cognos Analytics for creating dashboards.

Moving on to Python for data science, AI, and development, we cover types, expressions and variables, string operations, lists and tuples, dictionaries, sets, conditions and branching, loops, functions, exception handling, objects and classes, reading and writing files with open, Pandas, NumPy in Python, simple APIs, REST APIs, webscraping, and working with files.

The video also includes a Python project for data science, optional introduction to webscraping, databases and SQL for data science with Python covering basic SQL, introduction to relational databases and tables, refining your results, functions multiple tables and sub queries, accessing databases using Python, assignment preparing working with real-world datasets and build in SQL, view stored procedures, and transactions, and join statements.

Finally, the video covers data analysis with Python, including import datasets, data wrangling, exploratory data analysis, model development, and model evaluation and refinement. We also explore data visualization with Python, including an introduction to data visualization, basic visualization tools, specialized visualization tools, advanced visualization tools, visualization geospatial data, and creating dashboards with Plotly and Dash.