As Data Analytics continues to rise in popularity and gain recognition as one of the fastest-growing fields for graduates, so, too, has the demand for skilled Data Analysts skyrocketed across sectors. Businesses are using more and more data in order to drive their decision-making.
However, if you are just beginning your journey in this field and don’t know where to start, your first (and most important) step is to choose the best Data Analysis Courses that are available to you as a beginner. We created this blog to help you choose the right Data Analytics course, plus additional information on how to start a Data Analytics career and what beginners should consider when selecting courses.
What Is Data Analytics and What Makes It A Good Career Option?
Data Analytics refers to the processing and analysis of raw data to generate insights for an organization. As such, Data Analytics will be used by an organization to track performance, understand customer behaviour, and create informed business decisions.
For those new to the field of Data Analytics, there are many advantages to pursuing a Data Analytics career, including:
- Opportunities available in many sectors
- The skills required for the field are more than most advanced degrees
- There are many entry-level positions available to first-time job seekers
- The ability to continue developing one’s career through experience
Who can launch an analytics career?
One of the biggest benefits of data analytics is that those studying this field can come from many diverse educational backgrounds.
Anyone can learn data analytics who:
- Is a college student or recent graduate.
- Is a beginner who wants to learn a new job skill.
- Is an employee who is transitioning to another career.
- Has no prior experience with data-analytical concepts but has some basic knowledge of computers.
At this beginner level, you need no prior experience in programming languages or advanced coding techniques.
Why it’s important for beginners to find a suitable course to meet their needs.
Due to the number of options available and all the new data terminology that exists today, it’s common for beginners to feel overwhelmed when deciding what tools or learning paths are best for them. Therefore, beginning with a structured course in data analysis as a beginner will make your transition to being a data analyst much easier.
A well-developed beginner course in data analytics will:
- Give you a firm understanding of core data analytical concepts.
- Provide step-by-step instruction on how to use various data-analysis tools.
- Allow you to practice on real-world data to build your confidence and comfort level before applying for jobs.
What Will Beginners Learn in Data Analytics?
Beginners should confirm that the course is covering at least the following 5 main topics:
- Data Analytics Fundamentals : What is data? How is it utilized? How are insights produced?
- Excel for Data Analysis : How to utilize formulas and pivot tables? What are the best methods for cleaning data?
- SQL Basics : How do I access and use databases with SQL basic queries to retrieve and manage data?
- Data Visualization : What are some of the ways to create visual representations of data using different platforms like Power BI, Tableau etc.?
- Real-Life Experience : How do I practically apply what I have learned from taking the course, working with datasets & mini-projects?
Best Methods for Learning for Beginners
While beginners may learn much faster than those who have learned prior to coming to this field, the fast-track method is not the only way to succeed in this career.
The best method for beginners to learn data analytics includes:
- Teaches techniques to effectively learn concepts first, followed by utilizing various currently available tools.
- Regular practice using real data and experiencing applying the techniques learned.
- Asking questions until full understanding is achieved.
- Having the focus on achieving total understanding instead of simply remembering how to perform a technique or use a tool.
Lastly, keep in mind that data analytics is a process, and will continue to improve as you develop your skills over time and become proficient in the various tools.
The Way Webipher Guides Students in Getting Started in a Data Analytics Career
Webipher places a high priority on allowing those new to Data Analytics to easily learn it and begin their career. Students can expect to be able to learn Data Analytics in an organized manner (starting with very basic concepts, progressing to practical applications) so that they won’t be discouraged about taking the next step.
Advantages for Learners
A Beginner-friendly education model (a teaching method that allows students to learn as fast as they can).
- Using tools and projects that are relevant to the industry.
- Step-by-Step skill development process.
- Certification recognised by employers.
- Career guidance and placement assistance.
These Characteristics establish Webipher’s courses as among the most reliable Data Analysis Courses for students at the entry-level.
Job Opportunities After Taking a Data Analyst Start Course
Once students complete the Data Analyst Start Course, they will be qualified to apply for jobs such as:
- Entry-Level Data Analyst
- Junior Data Analyst
- Reporting Analyst
- Business Analyst (Junior Level)
With experience and continuing education, there is significant potential for career advancement.
Conclusion
Data Analytics does not require a long period of technical studying in order to become a career. With the correct guidance, structured learning and opportunities for hands-on work experience, a new Entry Level Data Analyst will confidently be able to join the industry and thrive in a professional capacity.
Beginning Data Analysis Courses are designed for beginner-level students to provide them with the basic tools necessary to develop and build a successful career with the confidence to succeed in the industry for many years.
