Here’s the Best Data Analyst Certification for Beginners
Find the best Data Analyst Certification for beginners and give a well-deserved boost to your career!
Technology is improving our lives and how we perceive our futures at an accelerated speed. If you want to impact, modern technologies such as computing, Data Analytics, and data science can be your best friends.
Data Analytics Certification can help you set foot in the arena of Big Data without spending thousands on a university degree or going into debt – this is the main reason we wanted to provide the best options for Data Analyst Certification for beginners.
After getting the basics or foundation of Data Analytics, you can progress to intermediate and advanced courses to further strengthen your skills, but that’s another topic for another day.
After thorough research and recommendations, we have finalized the list of the best Data analytics courses that can help you get started in this new and exciting field.
To make it sound even more tempting, according to McKinsey, Data Analytics and information services will have the fastest growth rate at 16% to 18% over the next five years meaning it’s high time to invest in certificate courses in Data Analytics. So, let’s start our journey of education, information, and revolutionizing your career pathway.
The Best Data Analyst Certification
There are many data analytics certification programs available today.
But which one is the best?
Intro to Data Analysis by Udacity is the best Data Analytics certification course to get a firm grasp on the basic concepts associated with analytics.
This course will introduce you to the world of data analysis. You’ll learn how to go through the complete data analysis process, which includes:
- Posing a query
- Communicating your findings
- Getting your data into a usable format and resolving any issues
- Exploring the data, looking for trends, and developing your intuition about it
- Making forecasts and/or drawing conclusions
This course is an excellent starting point for learning about the data analysis process as a whole. Before digging into each particular phase, it is critical to understand the distinctions between each phase of the process and how they relate to one another. After completing this course, you will be more prepared to succeed in subsequent courses in the Data Analyst Nanodegree program.
All in all, this certification course can help you become a competent Data Analyst. So what are you waiting for!
List of the Best Data Analyst Certifications in 2022
Whether you are trying to understand the basics of Data Analytics, recall the operational concepts, or enhance your skill set, here are the best Data Analytics courses in 2022.
- Intro to Data Analysis – Udacity
- Data Analyst Professional Certificate (IBM)
- Data Analyst with Python – DataCamp
- Data Analytics Professional Certificate (Google)
- SQL for Data Analysis – Udacity
- Data Analysis with R – Udacity
- Data Analysis and Visualization – Udacity
Introduction to Data Analysis is the sub-branch of Data Analyst Nanodegree offered by Udacity. It is designed to brief the students about exploring the data by identifying the data pattern. Data exploration helps make predictions, draw conclusions, and interpret data findings effectively.
This course also focuses on learning to use Pandas, NumPy, and Matplotlib so your designed code will be simpler and optimized. You will get a certification after successfully completing the course. If you want an affordable option for learning Data Analysis basis – Introduction to Data Analysis by Udacity is the best option!
To take this course, you should be experienced in programming in Python and conversant with Python concepts such as classes, objects, and modules. If you ask us, the Introduction to Python Programming course would be a fantastic place to start learning as a beginner.
Data Analyst Professional Certificate by IBM helps the students to understand the basic concepts of SQL, Data Analysis, Dashboards, IBM Cognos, Data Science, and Jupyter Lab Notebook. The certification components include 8 courses comprising the implementation of analytical techniques.
You can also gain hands-on experience with Python, Excel, and other data analytic tools that can help you understand data, identify patterns and present your results. It is one of the best courses if you are looking for a certification that can help you secure an entry-level position in the field of Data Analytics.
The advantage of this course is that it does not require any prior programming or statistics knowledge and is appropriate for students with or without a college degree. All you need to get started is basic computer literacy, high school math, comfort dealing with numbers, a willingness to learn, and a desire to add essential skills to your resume.
Data Analyst with Python certification can help you enhance your Python skills while working in the field of Data Analytics. After successfully completing this program, you can visualize data, clean, import, manipulate, and understand data patterns.
This course helps you understand the basics of Data Analytics with the example of global food consumption and Walmart sales trend. If you want to add Python to your skillsets – enroll for this course now.
The best part about this course is that there is no coding experience required. You’ll acquire hands-on experience with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more, through interactive activities.
Next up, we have a course straight from Google. Learn the fundamentals of data analytics and gain the job-ready skills you need to launch your career in a rapidly expanding sector.
With 100 percent remote online learning and approximately 10 hours of weekly sessions, you can get the Analytics certification by Google (in collaboration with Coursera). It helps you secure an entry-level job in the arena of Data Analytics with enticing positions such as Data technician, health, performance, and business performance analyst.
The course is focused on vital Data Analysis components such as understanding the classification of data, identification of data types, analysis and utilization of data, and supercharging your analysis through R programming.
Learn in-demand job-ready skills such as data analysis and processing to gain vital business insights through this course.
SQL for Data Analysis by Udacity focuses on helping the student understand and use Structured Query Language (SQL) to extract and analyze data. In addition, it highlights the techniques associated with data extraction and performing aggregation.
This course also offers complex data analysis techniques with the help of window functions subqueries and temp tables. After completing this course, you can master data analysis tasks, including data extraction, and manipulation, along with writing efficient SQL queries.
SQL is the most popular data analysis technology used by data analysts and data scientists. SQL is a valuable tool for a wide range of tasks in a variety of industries. Engineers, product managers, digital marketers, and others utilize it on a daily basis.
The only prerequisite of this course is that students should be comfortable working with data in spreadsheets.
Data Analysis with R is offered on Udacity in collaboration with Facebook. As a result, you can take your first step in the field of app development, data science, AI, machine learning, and web development.
This course mainly focuses on summarizing the data set characteristics, data exploration, and understanding the variables associated with data. It also helps the student with stepping into the world of Data Analysis.
A statistical background is advantageous but not needed to enroll. Before taking this course, consider getting some knowledge about:
- Variable assignment
- Comparison and logical operators
- If else statements
- Square roots, logarithms, and exponentials
- Mean, median, mode
- Normal, uniform, and skewed distributions
- Histograms and box plots
Data Analysis and Visualization is offered at Georgia Tech in collaboration with Udacity. It is one of the best courses focusing on visualizing, analyzing, and modeling complex multiple-dimensional data. It also introduced the student to real-life case studies.
You will have the chance to get hands-on experience with real-world data examples with the R programming language. With the concepts such as logistic regression, data processing, R programming syntax, and regularization – you cannot go wrong with this course you should have Programming experience and must be familiar with basic linear algebra, introductory probability, and calculus.
Whether you want an entry-level job in the Data Analysis arena or want to enhance your skillset for accelerated career growth – our selection of the best Data Analyst Certification for Beginners can help you select the right path to success.
From data extraction to utilizing the findings – Data Analyst certifications can help you shape your future the way you want. Keep in mind that the technological landscape is changing, so you must constantly upgrade your skillset. Keep learning till you succeed!