Though not a new field by any means, data science has been propelled into prominence in recent years thanks to the massive volumes of information at our fingertips. That’s why data scientists are in high demand and are paid astronomical salaries.

If you want to begin or accelerate your career in this field, enrolling in a data science course is a smart choice.  

Top Data Science Schools

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Section4 The Data And Analytics Essentials Sprint

The benefits of enrolling in a Data Science course

Learning data science will equip you with the skills and competencies necessary to tap into the sea of challengingyet-lucrative career opportunities in the field.

Create Real-World Impact

Data is the fuel of the 21st century: an endless treasure trove of powerful insights that can be leveraged to solve the most pressing business and social challenges. Knowing how to navigate this sea of information will give your career an edge. 

Learn Cutting-Edge Technology

Data science courses train you in the latest technology such as Artificial Intelligence (AI), Machine Learning (ML), data modeling, and predictive analytics. This helps you develop strong technical expertise and bolsters your employability quotient.  

High Demand for Experts Across Industries

Data science can be applied across several industries, sectors, and business functions. Some of the top industries where data science experts are in high demand are marketing, financial services, pharmaceuticals, healthcare, automotive, and cybersecurity.

Future-Proof Your Career

As per the World Economic Forum’s Future of Jobs Survey, 15% of an organization’s workforce will be disrupted by technology. While these technologies will displace several jobs, they will also generate more jobs—at the forefront of which are data and AI-related jobs. By learning data science, you are future-proofing your career.

Very Competitive Salaries

There is a growing demand for experts in different aspects and applications of data science across different industries and domains. However, there is an acute shortage of skilled data professionals. This expanding talent shortage has led existing data scientists to receive high paychecks. 

Featured Data Science Courses on Skill Upgrade

All You Need to Know About Data Science

What is Data Science?

Data science involves the study of large volumes of data, using modern techniques and tools to unearth unseen patterns and derive meaningful insights. The emergence of data science has led to the development of technologies such as deep learning, Natural Language Processing (NLP), and computer vision.

Data science helps organizations effectively predict outcomes, build models, and make data-driven decisions. By leveraging data science, organizations across industries can drive better outcomes in several aspects such as resource management, product improvement, supply chain optimization, and customer and employee experiences.

    Data Science Careers

    Business Analyst

    Business analysts leverage data to derive actionable business insights and drive data-led decision-making, optimizing business processes and maximizing effectiveness, efficiency, and business value.

    Business Intelligence Analyst

    Business Intelligence (BI) analysts analyze complex databases to understand the latest market trends and their impact on the organization, empowering them to make sound, data-driven business decisions. 

    Data Analyst

    Data analysts identify, collect, clean, and interpret large data sets to solve specific problems. They create, deploy and maintain data collection systems and databases.

    Data Analytics Manager

    Data analytics managers are responsible for the smooth functioning of data science operations and the management of the teams.

    Data Architect

    Data architects leverage computer science and design skills to develop blueprints for data management systems. They ensure that databases are centralized, integrated, secured, and are properly maintained, enabling seamless access to the users. 

    Data Engineer

    Data engineers build, test, and optimize scalable, stable Big Data ecosystems for organizations while aiding data scientists to run their algorithms on stable data systems.

    Data Mining Specialist

    Data mining specialists leverage statistical software to unearth information hidden in data stores, analyzing the data and deriving insights to aid business decision-making.

    Data Scientist

    Data scientists collect, pre-process, analyze and interpret large volumes of structured and unstructured data. They unearth patterns and trends, create predictive models and ML algorithms, and visualize and communicate results to aid business decision-making.

    Database Administrator

    Database Administrators ensure the proper functioning and maintenance of all organizational databases, manage access controls, and create database backups and recoveries.

    Database Developer/Programmer

    Database developers and programmers design, develop, program, build and implement new databases while also modifying and updating existing databases to reflect changes in user needs and platform updates.

    Machine Learning Engineer

    Machine Learning engineers specialize in the research, design, development, and production of self-running software or AI systems, enabling the automation and improvement of predictive models.

    Marketing Analyst

    Marketing analysts leverage data to empower organizations to optimize their marketing activities and drive maximum business value.


    Statisticians are responsible for the collection, analysis, and evaluation of data from data clusters. They extract invaluable insights, trends, and relationships that aid in business decision-making.

    Top Trends in Data Science Careers

    The following trends in data science have a direct impact on the current data science career landscape and the skills needed to thrive in the field.

    The Dominance of Python

    Given its simplicity, flexibility, versatility, ease of learning, and availability of its open-source tools, frameworks and libraries, Python is widely leveraged for building ML programs. As a result, there is a 154% increase in the demand for experts in Python, making it one of the fastest-growing IT skills today.

    The Emergence of Reverse ETL

    Data infrastructure has moved away from the traditional Extract, Transform, Load (ETL) to reverse ETL. With reverse ETL, data capabilities are moved out of centralized silos and are embedded within different teams. Teams can, thus, leverage powerful business insights to optimize operations.

    Deepfakes and Synthetic Data

    Deepfakes, synthetic data and generative AI use deep learning to create large volumes of fictitious data in a privacy-safe world for training ML models. While deep fakes and synthetic data are already being used in the art and entertainment industry, there’s massive potential for this technology in other industries as well.

    The Democratization of Data Science

    The emergence and adoption of AutoML is democratizing the field of data science. AutoML tools, while freeing up the bandwidth of data scientists from the wasteful data preparation processes, enable non-technical professionals to leverage data science to address pressing problems.

    Why Should I Enroll In An Online Data Science Course?

    Perfect for Busy Professionals

    Online data sciences are perfect for full-time professionals, especially those who want to switch career paths or accelerate their data science careers. You can learn anywhere, anytime, and at a pace suitable for you. Best of all, you won’t have to take a break from your current job or relocate to study.

    Shorter, More Affordable Courses

    Online data sciences courses are typically a few weeks to a few months long and cost a fraction of a full-time program while offering a similar degree of rigor and intensity. Additionally, there are no costs of relocation, accommodation, or travel to be incurred.

    Learn Specific, In-Demand Skills

    A full-time data science degree usually includes general education subjects which you might already know or won’t need in your career. With an online data science course, you can choose to focus on specific, in-demand aspects or specializations that you’re sure you can apply in your day-to-day job. For instance, Python is currently dominating the field, and you can take an online course to learn just that.

    Technology-Powered Learning Experience

    The best online data science courses leverage best-in-class technology, including AI, analytics, AR-VR, and gamification,  to offer immersive, personalized learning experiences. They also help you learn popular data science tools in a hands-on manner.

    What Should I Expect From An Online Data Science Course?

    Structure and Format

    Online data science courses are available in different structures, formats, and durations, ranging from impersonal MOOCs to self-paced courses with live sessions, to interactive cohort-based courses. 

    Learning Goals

    The best online data science courses always have well-defined goals and clear, quantifiable outcomes. They use different assessments such as quizzes, hands-on projects, live discussion forums, self-assessments, and graded assignments to measure progress.  


    Most courses require you to commit to a few hours every week, but learners have a great degree of freedom and flexibility to schedule an online data science program’s self-study components, which include reading materials, video modules, and case studies. The live components—interactive lectures, networking events, tutorials, and the like—are scheduled with working professionals in mind.

    Nature of Course Content

    The best online data science courses usually offer short videos, quizzes, case studies, learning materials, references, and other engaging content that are continuously upgraded to reflect the changing technology and business landscape. They also offer hands-on access to popular tools.

    Technical Support

    All good online data science courses offer 24/7 technical support to learners to ensure seamless educational experiences. Some e-learning platforms also have extensive documentation and thriving online support forums to help students out.

    How to Choose a Data Science School

    University Certificate Programs: Pros and Cons



    • Adds value to your resume, opening more lucrative career opportunities
    • Direct access and face-to-face time with the faculty
    • Networking opportunities with the cohort, faculty, and industry experts
    • Plenty of career growth opportunities, including internships and placements
    • Direct access to dedicated career/ placement centers
    • May have to take a sabbatical or a break from work to earn the certificate / degree
    • Higher tuition fees – you may have to take out student loans
    • Additional costs of relocation, accommodation, and conveyance
    • Might not be technology-led and might not offer learning analytics to improve outcomes 



    Online Courses, Nanodegrees, Micro-Credentials, Bootcamps: Pros and Cons



    • Short, affordable courses that are intensive, focused and rigorous
    • Perfect for full-time working professionals who want to upskill or reskill themselves
    • Affordable tuition fees with no additional costs for relocation, accommodation, etc.
    • Flexible and self-paced learning, often with live access to the faculty and a diverse, global cohort
    • More options in terms of course length, outcomes, focus and skills
    • Technology-led courses that enhance the learning experience and outcomes
    • May not be as prestigious as a university-issued certificate and often doesn’t count toward a university degree
    • May not be recognized by all employers
    • Several courses are simply recorded videos without any live sessions or personal touch
    • May not offer one-on-one access to the faculty or teaching assistants
    • Fewer networking opportunities with the cohort and the faculty



    How Much Would It Cost To Study Data Science Online?

    Cost Of an Online Data Science Program Offered by An Ivy League University

    The Data Science Cornell Certificate Program is a 4-month online program from eCornell. It includes 8 instructor-led courses with a cohort size of less than 35 students. It costs $3750 (one-time payment) or $519 per month (8 monthly installments).

    Cost Of a Data Science Course/Program Offered by An Online School

    The Data Science Nanodegree from Udacity is a 4-month online program. It is a flexible, self-paced program that requires a 10-hour weekly commitment. It costs $1436.

    Cost Of Data Science Certifications Offered by Companies

    The Data Analytics Professional Certificate from Google is a 6-month program. It contains 8 flexible, self-paced courses. It costs $14 per month.

    Top Jobs Available And Salaries For Data Science Graduates

    Since data is the fuel of the 21st century, forward-thinking organizations are already investing heavily in data science and its many specializations. As a result, there is a steady demand for experts in the field, complemented by attractive pay packages.

    Entry-Level Roles Mid-Level Roles Senior / Executive Roles

    Junior Data Scientist – $82,344

    Database Engineer – $91,541

     Senior Business Analyst – $101,277

    Machine Learning Engineer – $131,001

    Data Science Manager – $160,956

    Chief Data Officer – $189,480

    How SkillUpgrade Can Help You In Your Data Science Career

    SkillUpgrade enables you to launch your data science career by helping you find the best online data science courses that match your learning goals. Leveraging our 15+ years of experience in online education, we find and review courses with real human interaction that help you to learn and develop in-demand data science skills. We don’t review courses unless we have taken them ourselves. Before writing our professional course reviews, we always interview at least two students who have taken the program.

    Just like data, there is a deluge of impersonal, generic and lackluster data sciences courses online. With SkillUpgrade, you can steer away from these ineffective courses and find engaging online data science courses that are perfect for you.

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    You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.