The Data Analyst Course: Complete Data Analyst Bootcamp 2023

Data Science involves: Statistics, Excel, Linear Algebra, Power BI, Machine Learning, SQL
What you'll learn
Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts
Learn how to obtain interesting, real-time information from Excel,Power BI,SQL.
Understand different data types and their memory usage
Expand your knowledge of NumPy – statistics and preprocessing
Solve a final capstone project
Requirements
You’ll need to install Power Bi, Excel. We will show you how to do that step by step
No prior experience is required. We will start from the very basics
Description
In business, being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid analysts. It's becoming an essential part of many roles.
If that sounds daunting, don't worry. There is a growing set of tools designed to make data analysis accessible to everyone, in this huge-value, four-course Data Analysts Toolbox bundle we look in detail at three of those tools: Excel, Python, and Power BI.
In isolation Excel, Python, and Power BI are useful and powerful. Learn all three and you are well on your way to gaining a much deeper understanding of how to perform complex data analysis.
This Data Analysts Toolbox bundle is aimed at intermediate Excel users who are new to Python and Power BI. All courses include practice exercises so you can put into practice exactly what you learn.
Power Pivot, Power Query and DAX
How to get started with Power Query
How to connect Excel to multiple workbooks
How to get data from the web and other sources
How to merge and append queries using Power Query
How the Power Pivot window works
How to set up and manage relationships in a data model
How to create a PivotTable to display your data from the Power Pivot data model
How to add calculated columns using DAX
How to use functions such as CALCULATE, DIVIDE, DATESYTD in DAX
All about creating Pivot Charts and PivotTables and using your data model
How to use slicers to adjust the data you display
Power BI
What is Power BI and why you should be using it.
To import CSV and Excel files into Power BI Desktop.
How to use Merge Queries to fetch data from other queries.
How to create relationships between the different tables of the data model.
All about DAX including using the COUTROWS, CALCULATE, and SAMEPERIODLASTYEAR functions.
All about using the card visual to create summary information.
How to use other visuals such as clustered column charts, maps, and trend graphs.
How to use Slicers to filter your reports.
How to use themes to format your reports quickly and consistently.
How to edit the interactions between your visualizations and filter at visualization, page, and report level.

Who this course is for:
You should take this course if you want to become a Data Analyst and Data Scientist
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

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