Day to day, I receive messages from people all over the world regarding how to become a data analyst. Some come from a background where their current career involves data, whilst others are completely new to data analysis in general.
Starting a new career can be difficult, especially when you feel like you do not have the right skill set to be successful. Imposter syndrome. It is normal and we have all gone through it once in our lives.
However, I can completely agree that when you decide to change careers, you want to ensure that you know what you’re doing and you have the right skills to continuously grow and be better. This article will help you choose the right course, without the hassle of looking around yourself.
DataCamp’s 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 being a data analyst with a business analyst – this course from DataCamp may be the one for you.
Without any prior experience required, you will learn how to import, clean, manipulate, and visualize data in Power BI—all critical skills for any aspiring data professional. You will also go through hands-on exercises that will take you through the data analysis process as well as the best practices with Power BI.
If you want to get certified, you will also receive a 50% discount code for the Microsoft PL-300 certification after completing the track to help you take your data analyst career to the next level.
Meta Data Analyst Certification
Link: Meta Data Analyst Professional Certificate.
This course is aimed at beginners who are looking to enter the tech industry from a data analyst approach. You can take this course in your own time and at your own pace. The whole course will take you 5 months to complete if you commit 10 hours a week, but if you can commit more you can get it done faster!
The certification is made up of 5 courses:
Introduction to Data Analytics
Data Analysis with Spreadsheets and SQL
Python Data Analytics
Statistics for Marketing
Introduction to Data Management
In these 5 courses, you will learn how to collect, clean, sort, evaluate and visualise 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 foundational principles of effective data management within an organisation.
Google’s Data Analytics Certification
Link: Google’s Data Analytics Professional Certification
A very popular course, Google’s Data Analytics professional certification allows you to understand the practices and processes used by associate data analysts. This course is aimed at beginners and is advised to commit 10 hours a week to complete it in 6 months.
You will learn key analytical skills, such as data cleaning, analysis, & visualisation as well as tools such as spreadsheets, SQL, R programming, and Tableau. Using these skills, you will learn how to visualise and present data findings in dashboards, presentations, and commonly used visualisation platforms.
Many have taken this course with no prior experience and are currently working as a data analyst.
Wrapping it Up
It can be a hassle to find the right course, especially when you are new to the sector. The team and KDnuggets want everybody to grow and learn.
We hope articles like these are helping you start the next chapter in your life with guidance and ease!
Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.
