Explanation
A Complete Data Analyst, Data Analytics is bringing new innovations to the world. The recent incident of Covid and ChatGPT makes the need for Data Analysts and scientists even more important in organizations. Employees with data science and analytical skills are highly valued and paid for by organizations. If you are interested in learning and understanding the field of data analysis, then this course is for you. This is the most common DETAILS and Organized covering the course EVERYTHING you need to become an informant. The course is designed over a 4-month period of intensive lessons and projects. The content in this course has been updated and includes key areas of demand in 2023 and beyond.
Whether you are aiming to become a Data Analyst or switching from one domain to data analysis or even looking to further delve into the machine learning or AI field, you should first look at the job requirements in the data analysis field and see what skills are required. is local to find a job in that area. While creating this course, I took the time to research many corporate jobs, including vacancies at my company and created the course to give students the exact skills they need to crack their Data Analytics interviews. and also to be successful when employed. In this course, you will understand the main components of Data Analytics and various career opportunities in Data Analytics. After that, you will start with SQL for Data Analysis to give you a solid grounding in your data analysis skills. This should give you the foundation needed for advanced data analysis concepts such as Python programming, R programming and cleaning and dealing with messy data.
What will you learn?
- Learn ChatGpt
- Master Complete Excel for Data Analysis
- Master Complete SQL for Data Analysis
- Master Complete Python Programming for Data Analysis
- Complete Data Master’s Audio: Tableau & Microsoft Power BI
- Storytelling Information
- Complete the Web Scraper for Data Analysis
- Data Evaluation in Python and Excel
- How to prepare and generate insights from data using Python, Excel, SQL, Tableau, and Power BI
- Understand the data analytics ecosystem
- Finding life
- Master Complete R Programming for Data Analysis
- Data Image
- Presentation of Data
- Dealing with messy data
- Github Portfolio Project for Data Analytics
Who is this course for?
- Students who want to become Data Analysts are serious about their career
- Working professionals who want to move into the field of Data Analytics and Data Science
- Anyone interested in going deeper into the important concepts of data
- Anyone interested in diving deeper to know how to deal with messy data
- Anyone who has difficulty understanding the field and concepts involved in Data Analysis and wants a step-by-step guide to understanding these concepts.
- Anyone who wants to be a sure profession that is not easily affected by the dismissal of organizations
- Anyone looking for a raise and salary increase with a useful technical skill.
- FG: This course is not for lazy students who are not serious about their career. I spent a lot of time creating a comprehensive course like this, I expect you to be serious about your profession. The course is good and there are no two ways about it. You just have to be serious about working towards your goals, and together we can achieve them.
The Complete Recording Data Analyst Guide
- Publisher: Udemy
- Teacher: Light of Kyeremeh
- Language : English
- Level : All Levels
- Number of courses: 319
- Duration: 45 hours and 20 minutes
Includes 2023-6
Requirements
- This is the beginning of an advanced course and an instructor with years of experience in the industry and in the classroom breaks down concepts that anyone at any level can understand. A laptop, internet connection and willingness to learn are enough to complete this comprehensive course.
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