Why is Choosing the Right Data Analytics Course Duration Important

Why is Choosing the Right Data Analytics Course Duration Important | Data Analytics | Emeritus

Data analytics is advancing into the most important field in today’s world since it is used to make highly-impactful business decisions. In India, the data analytics industry is projected to touch $118.7 billion by 2026, opening doors to exciting work opportunities for data analytics graduates. An Indian Brand Equity Foundation (IBEF) report states that there will be more than 11 million jobs in the data analytics industry by 2026. Aspiring data analysts are better off if they were to choose a learning pedagogy with the right data analytics course duration for your convenience.

Data analytics is a fairly technical field. An aspiring analyst can take a course to develop these skills and gain in-depth knowledge about different data analysis tools and techniques. Developing these skills can take a few weeks to a few years. For instance, a bachelor’s degree in computer science is traditionally the starting point for many data analytics professionals. Such courses take four years to complete. Meanwhile, a certificate or diploma course in data analytics spans from a few weeks to months. Therefore, aspirants need to determine the duration of the data analytics course. Read ahead to learn how and why to choose the right data science course duration.

Data Analytics Course Duration: Short vs. Long

Corporate SustainabilityData analytics enables companies to predict trends, make informed business decisions, and better understand their customers and competitors. A data analytics course provides learners with the theoretical knowledge and practical skills required to excel in the field. Learners can collect, manipulate, and analyze data from different sources to solve business challenges.

Time is of the essence; thus, aspirants need to analyze different data analytics course durations and choose a learning program that helps them achieve their goals in the stipulated time.

Long data analytics courses like bachelor’s and master’s degrees are designed for individuals who want to build a career in analytics from the ground up. Therefore, they are more extensive and theoretical. A long data analytics course’s duration spans anywhere from three to five years.

Short data analytics courses like certificates and diplomas are designed for working professionals who want to scale their careers or for those who want to transition into analytics. Hence, these courses have a focused curriculum that enhances learners’ knowledge of a specific area. A short data analytics course duration lasts anywhere from a few weeks to a few months.

ALSO READ: The Importance of Data Science Courses for Success as a Professional

How to Decide Which Data Analytics Course is Right for You

Consider these three things when deciding which data analytics course to choose.

1. Data Analytics Course Duration

Determining how long it would take to complete the course is important. For instance, short data analytics courses are ideal for working professionals and fresh graduates who want to continue learning without leaving their jobs. On the other hand, long data analytics courses are for learners who want to build their analytical career from the ground up.

2. Curriculum

Carefully examine the course curriculum. Look for topics covered in the course.  Some of the topics covered in a data analytics course include an introduction to programming, data structures and algorithms, machine learning, exploratory data analytics, and artificial intelligence.

3. Data Analytics Course Eligibility Criteria

Check the eligibility criteria before enrolling in a course. For instance, some data analytics courses may require learners to know statistical or mathematical concepts or may require them to have work experience as analysts.

What are the Benefits of Taking Short and Long Data Analytics Courses?

Data & AnalyticsHere are some benefits of taking short and long data analytics courses.

1. Enhance Problem-Solving Skills

Analytics is about solving problems using data at its heart. The ability to think analytically and approach problems correctly is a skill employers are looking for in professionals today. Moreover, being a good problem solver helps data analysts look at different data points and draw deep insights from them that can be used to solve business problems., Taking up a data analytics course will help aspirants develop excellent problem-solving skills.

2. Enhance Additional Skills

There is high demand for data analytics across companies. A Livemint report states that big data analytics investment in Indian companies has grown by 11.2%, reaching $2 billion. The big data analytics boom means that there will be more opportunities for talented and skilled data analysts. Furthermore, it could also mean that data analytics graduates can work in various industries. An analytics course will help aspirants develop communication, critical thinking, and problem-solving skills that will help them pick up strong leadership skills.

3. Know the Right Tools for the Job

Data analytics uses different tools to make sense of data and draw meaningful insights. A foundational understanding of data analytics makes it possible to use tools effectively. Aspirants enrolling in a data analytics course will be able to stay ahead of their peers and learn how to use the tools for the job effectively.

4. Turns Ideas Into Reality

There are different ways analytics initiatives can go wrong. Companies employ data specialists with technical expertise and an understanding of business to anticipate challenges and adjust accordingly. A data analytics course helps aspirants expand their knowledge and business acumen.

ALSO READ: What is Data Analytics – Know its Types, Applications and Career Opportunities

Frequently Asked Questions (FAQs) About Data Analytics Courses

1. Do you need prior analytics knowledge before taking a data analytics course?

Data analytics is a fairly technical job role. Therefore, a strong understanding of mathematics and statistics is essential for data analysis. Additionally, aspirants need to have a basic understanding of programming languages like Python and R. They should know how to write and run statistical models and algorithms. However, not all courses require prior knowledge of data analytics.

2. Is data analytics a good career alternative?

Data analytics is a promising career with exciting job prospects and competitive salaries. As companies realize the importance of data analytics, the demand for analysts is increasing at a rapid pace. Therefore, if you want to make a career in data analytics, now is the right time.

3. How long does it take to become a data analyst?

Developing the skills needed to become a data analyst can take a few weeks to a few years. It depends on the data analytics course duration and the curriculum you choose.  It can take a few weeks or months to complete.

Why is Emeritus’ Data Science and Analytics Course Ideal for Working Professionals?

Analytics is not just the way of the future; it’s the way of the present. That’s why companies across industries are adopting analytical tools and technologies to gain a competitive advantage. For instance, retail companies use analytics to tailor products according to customer needs and increase sales.

With the sudden boom in analytics, professionals with excellent analytical capabilities are more likely to get exciting work opportunities. Enrolling in Emeritus’ data analytics and science courses will increase your chances of getting better work opportunities. These courses are delivered via real-life case studies, group assignments, and peer-to-peer interactions, which will help aspirants learn the application of data analytics in the real world and equip themselves with industry-ready skills.

About the Author


Senior Content Contributor, Emeritus Blog
Varun, a seasoned content creator with over 8 years of diverse experience, excels in crafting engaging content for various geographies and categories. Leveraging this expertise, he seamlessly translates complex concepts into enriching educational content for the EdTech domain. His keen understanding of research and life experiences helps him resonate with students and create fact-based content. He finds solace and inspiration in music, nurturing his creativity for content creation.
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