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Day by day I receive messages from people all over the world about how to become a data analyst. Some come from a background where their current career involves data, while others are completely new to data analysis in general.
Starting a new career can be difficult, especially when you feel like you don't have the right skills to succeed. Imposter syndrome. It is normal and we have all experienced it at some point in our lives.
However, I completely agree that when you decide to change careers, you want to make sure you know what you are doing and that you have the right skills to continually grow and be better. This article will help you choose the right course, without the hassle of looking around.
DataCamp Data Analyst in Power BI
Link: DataCamps Data Analyst Course in Power BI
Power BI is one of the most popular tools out there and data analysts love it. If you are looking for a career where you can merge the role of data analyst with business analyst, this DataCamp course may be right for you.
With no prior experience required, you'll learn how to import, clean, manipulate, and visualize data in Power BI—all critical skills for any aspiring data professional. You will also complete hands-on exercises that guide you through the data analysis process, as well as best practices with Power BI.
If you want to get certified, you will also receive a 50% discount code for Microsoft PL-300 certification after completing the journey to help you take your data analyst career to the next level.
Metadata Analyst Certification
Link: Professional Metadata Analyst Certificate.
This course is aimed at beginners looking to enter the technology industry from a data analyst approach. You can take this course on your own time and at your own pace. Completing the entire course will take you 5 months if you dedicate 10 hours a week, but if you can dedicate more, you will be able to do it faster!
The certification is made up of 5 courses:
- Introduction to data analysis
- Data analysis with spreadsheets and SQL
- Python data analysis
- Statistics for marketing
- Introduction to data management
In these 5 courses, you will learn how to collect, clean, sort, evaluate and visualize data, apply the OSEMN framework used to guide the data analysis process, use statistical analysis such as hypothesis testing and regression analysis to make data-driven decisions . and understand the fundamental principles of effective data management within an organization.
Google Data Analytics Certification
Link: Google Data Analytics Professional Certification
A very popular course, the Google Data Analytics professional certification allows you to understand the practices and processes used by associate data analysts. This course is aimed at beginners and it is recommended to spend 10 hours a week to complete it in 6 months.
You'll learn key analytical skills such as data cleansing, analysis and visualization, as well as tools such as spreadsheets, SQL, R programming and Tableau. With these skills, you will learn to visualize and present data findings in commonly used dashboards, presentations, and visualization platforms.
Many have taken this course with no prior experience and are currently working as data analysts.
Wrapping it up
It can be difficult to find the right course, especially when you are new to the industry. The team and KDnuggets want everyone to grow and learn.
We hope articles like these help you begin the next chapter of your life with guidance and ease!
nisha arya is a data scientist, freelance technical writer, and KDnuggets editor and community manager. She is particularly interested in providing professional data science advice or tutorials and theory-based insights into data science. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. Nisha, a great student, seeks to expand her technological knowledge and her writing skills, while she helps mentor others.
