Data Science Courses

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Data Science Programs

Why Data Science?

What is Data Science and who should pursue a Data Science Course?

Data Science is the study of data, where it comes from, what it represents, and the ways in which it can be transformed into valuable insights and resources to create business and IT strategies. It uses various statistical techniques on large sets of data to discover hidden business insights and help businesses predict future scenarios using data.

Businesses today are capturing a lot of data and are looking for professionals who can help them make effective use of this data to grow their businesses and drive efficiency. So the role of Data Science professionals is in great demand and as a result, has emerged as the hottest job of the 21st century according to Harvard Business Review

With the steadily increasing demand for data science, many young graduates and working professionals are aspiring to build a rewarding career in this field.

To succeed in data science you need to have

  • Basic understanding of mathematics and statistics
  • Technology skills
  • Strong Business Acumen
  • Multimodal communication skills
  • Curiosity and Creativity
  • Basic programming knowledge

If you want to learn these skills and have the passion to pursue Data Science as a career option, these courses are best suited for you. A penchant for numbers and data, along with a basic aptitude is the only prerequisite to follow your passion in Data Science. Everything else to make you an expert will be efficiently taught by our renowned faculty.

What are the roles and responsibilities of a Data Science professional?

Data is a necessity for any industry to assess and enhance its growth, and it plays a key role in decision making, forecasting, risk analysis, providing better service, staying ahead of the competition and many more. By taking decisions that are backed by sufficient and valid data, organisations are able to focus on resources to drive maximum impact with minimal risk. Hence Data Science professionals are essential for any industry to move forward in the 21st century.

These are the key responsibilities of data science professionals:

  • Data science professionals analyse outcomes and provide crucial information and play a key role in proposing business plans by analysing data.
  • Data science professionals are responsible for solving business problems and enhancing overall business performance.
  • Data science professionals identify existing risks besides forecasting future risks. They aid in proposing the best business solution to overcome risks to stay ahead of the competitors.
  • Data science also studies end-user behaviour and serves the business by providing enhanced service to end-users.
  • Data science professionals perform various analytical operations that involve design, implementation, and evaluation of the various statistical models to solve complex business issues.
  • Data science experts perform ad-hoc data mining that helps to formulate successful business models.
  • Data Science has drastically impacted the field of Business. The trends and behaviours identified by data science professionals are extracted through statistical techniques such as predictive analysis, segmentation analysis, etc. This helps to apply data-driven insights to address complex business issues.
  • Data Science professionals monitor the health of a business by monitoring data and flag any causes of concerns.

Great Learning Advantage

Why choose Great Learning for Data Science?

Among the many Data Science courses available, Great Learning’s Data Science course stands out and helps you transition to your dream job in a structured manner.

  • The analytics course has been ranked as #1 for five consecutive years, which is a testament to our commitment to quality
  • The course is developed in collaboration with The University of Texas at Austin and with the help of industry experts
  • The curriculum is comprehensive and covers varied topics such as Business Analytics and Machine Learning which allows the candidates to take up a specific program that meets their specifications
  • The course extends hands-on learning in the form of capstone project, hackathons, industry exposure, and lab sessions to brainstorm and help with ongoing projects
  • Personalised mentorship helps aspirants develop strong resumes and get them job-ready
  • We also provide career assistance with GL Excelerate, an exclusive confluence of top companies hiring data science professionals
  • Hiring partners include The Math Company, EY, UnitedHealth Group, LatentView, Uber, Swiggy, Fractal Analytics, OYO, KPMG, MuSigma, Mercedes Benz, TCS, Accenture, Infosys, Cognizant, Mahindra, Big Basket and many more
  • The faculty is top-notch and includes some of the top names in the field of Data Science and Analytics

What are the tools and skills that are covered in Great Learning’s course?

GL helps you become a well rounded Data Science professional and our course helps you gain mastery over the necessary skills and tools to harness these skills:

  • Data Analysis Tools: Learning Data Analysis tools is essential to process data for solving business problems at hand.

    • Pandas
    • Seaborne
    • Matplotlib
    • Basic Statistics
  • Machine Learning Tools and Techniques: Basic machine learning techniques and algorithms are critical for identifying patterns in the data.
  • Data Analysis Tools: Learning Data Analysis tools is essential to process data for solving business problems at hand.

    • Regression Techniques
    • Ensemble Techniques
    • Supervised and Unsupervised Learning
  • SQL Programming: For managing and efficiently working on data sets and includes an introduction to DBMS along with other aspects of SQL programming
  • Data Science Applications: The course extends support in the form of explaining real-world applications in Time Series, Text Mining, and Data Visualisation

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