The global big data analytics market is expected to reach $745.15 billion by 2030. That would be a massive increase from the $307.52 billion that it is currently. This exponential growth can be attributed to businesses’ increased use of digital solutions for marketing opportunities, growth in databases, and the rise in edge computing technology. Consequently, as the market grows, the need for data analysis professionals is also expected to rise significantly. Hence, now is the best time to enter the field of data analytics. This blog discusses how to transition into a data analytics career and the benefits of a data analyst training program in making that transition smooth and easy.
Benefits of Transitioning to a Career in Data Analytics
Before discussing how to grow a career in data analytics, let’s see the relevance of a data analytics career today. The following are some benefits of transitioning to a career in data analytics.
1. A Future-Proof Career
According to the World Economic Forum’s Future of Jobs Report 2023, 80% of organizations are likely to adopt big data analytics technology by 2027. This will make data analytics the third most popular technology in the digital world. Hence, transitioning a career to data analytics offers job security and a secured career path due to many opportunities.
2. Increasing Options
As per the same report, big data analytics technology is expected to be a leading factor in the emergence of jobs in various fields. It is expected to create 59% of jobs in the U.S. market. Moreover, big data analytics will also create many jobs in various sectors. The popular industries that are likely to integrate business analytics on a large scale include automotive and aerospace, business support and maintenance, chemical and advanced materials, electronics, information and technology, infrastructure, and more.
3. High Earning Opportunities
Data analytics is also among the highest-paying tech jobs globally. Beginner data analysts in the U.S. earn an average salary of $83,067 per year. Moreover, experienced data analysts can earn an annual average salary of $126,442.
4. A Challenging Work Environment
Collecting, processing, and analyzing large volumes of data to extract valuable insights for business is a tough job. Therefore, being a data analyst is undoubtedly a challenging role. However, it also helps businesses succeed through innovation and strategic decision-making. Thus, a career in data analytics is best for people who love to take on new challenges and seek career satisfaction.
How Can an Online Data Analyst Training Program Help Professionals Make a Career Switch?
Before transitioning to a career in data analytics, it is essential to understand that there is a significant gap between academia and the job market in the data analytics industry. This is because of the interdisciplinary nature of data science and data analytics, which makes it difficult to create a uniform skill set. Data science professionals have a broader knowledge of data analytics and other skills. However, data analytics is a whole skill within the umbrella of data science that requires expert training. A data analyst training program provides this expert training.
Let’s understand how an online data analyst training program helps transition careers:
1. Skill Development
Having the most coveted skills is crucial when switching careers to data analytics. It makes navigating a new field easier, and these skills can also make up for the lack of experience in data analytics. Online data analyst training programs teach various skills such as data manipulation, statistical analysis, data visualization, programming languages (Python or R), SQL (Structured Query Language), and more.
Switching to data analytics from other professions requires strategic career planning. Therefore, gaining data analytics skills based on career goals is necessary before making a switch. An online program can help professionals learn data analyst skills while pursuing their jobs. It also offers the flexibility to learn about data science without displaying a career gap on your CV.
3. Learning From Leading Global Institutions
Data analyst training programs are offered in partnership with leading universities or colleges offering data analytics courses. These courses offer insights into the global data science and analytics industry. A program thus prepares learners eager to join a global workforce.
Another advantage of a good program is that it offers industry certifications after course completion. These certifications add value to the resume and validate the skills learned through the course. Thus, a data analyst training program provides an added advantage when looking for jobs.
Most data analyst training programs have a dedicated mentor or career guide who helps learners smoothly switch to a career in data science. They offer job assistance and help with interview preparations too.
What Skills do Professionals Need to Succeed in Data Analytics?
Here are 10 popular skills one needs to build a successful career in data analytics:
- Data analysis to gain insights
- Probability and statistics to collect, analyze, and interpret data to find the probability of future events or forecast future trends
- Data management, which involves collecting, storing, processing, and interpreting data through secured means
- Machine learning to develop models that can draw insights from data patterns
- Mining to help find hidden or uncovered data patterns from large databases
- Data visualization, which is representing data insights into a visual format for a better understanding
- Learning SQL, a programming language used for processing large databases
- Data modeling involves creating data models or diagrams to define data flow. This is used for data formatting
- Statistical programming to create statistical programs or models for interpreting data
- Finally, cultivating business intelligence, which means analyzing data and interpreting it to make sound business decisions
How Long do Online Data Analytics Training Programs Typically Take to Complete?
Most online data analyst training programs are certificate courses that take around two to six weeks to complete. However, some technical courses that teach programming languages, coding, or the use of advanced technologies for data analytics, such as machine learning, natural language programming, and deep learning, take six to 20 weeks.
The ideal duration is usually two to four months. This benefits professionals who want to upskill themselves and advance in their careers. Furthermore, this duration is also appropriate for professionals transitioning to a career in data analysis as they can gain practical skills and industry insights in a relatively short period.
Why are Emeritus Data Science Courses in Demand for Career Transitioning?
Career transitioning has become a common phenomenon in the past few years. Some of the main reasons for switching careers are better-paying opportunities, satisfaction, intellectual growth, and finding jobs that align with one’s values. Consequently, more people are exploring different occupations, labor markets, and function areas for a fulfilling career.
Nevertheless, despite the increase in career transition, it has various challenges or limitations—such as a lack of resources, guidance, and skill gaps. Emeritus’ online data analyst training program helps professionals overcome these challenges in the following ways:
Emeritus’ courses focus on outcome-oriented training. That means they teach practical skills like business intelligence, data visualization, and data analysis.
Since industry experts teach our data analyst training programs, they help learners build a professional network. Learners can seek guidance from the network to grow their careers in data analytics.
Emeritus’ data analyst training program also requires learners to apply their data analyst skills to real-life projects and case studies.
Data analytics is a promising career in the modern digital world. However, organizations seek skilled and experienced data analysts. A data analyst training program can, therefore, help professionals gain in-depth knowledge about data science and learn relevant industry insights that facilitate a smooth career transition. Check out Emeritus’ data science courses and advance your career today.
By Sneha Chugh
Write to us at email@example.com