Data Science Course Syllabus: Everything You Need to Know

Data Science Course Syllabus: Everything You Need to Know

Today’s precise and smart technological developments and solutions available in the market in almost every sector are upgrading rapidly; the data is the heart of these upgradations. Various sensors collect data and transfer it to the system. This data goes through multiple processes such as understanding, analysing, concluding, and extracting meaningful information.

Today’s precise and smart technological developments and solutions available in the market in almost every sector are upgrading rapidly; the data is the heart of these upgradations. Various sensors collect data and transfer it to the system. This data goes through multiple processes such as understanding, analysing, concluding, and extracting meaningful information.

These procedures use a scientific approach used, and thus it is known as ‘Data Science’. It is a trending interdisciplinary field of the 21st century. Various scientific methods, algorithms, and unstructured systems extract insights and knowledge from structured and unstructured data. It is closely related to data mining, big data, and machine learning. 

The global data science platform’s market size is rising exponentially due to its applications in various fields. The demands for intelligent systems are increasing in multiples with the adoption of advanced technology. The value of data science’s market size was 3.93 billion USD (United States Dollar) in 2019.

It is estimated to expand at a CAGR (Compound Annual Growth Rate) of 26.9% between 2020 and 2027. Rising investments in data science research, development, and technological advances are causing such rapid market growth.

The data science field is exciting and grabbing the attention of professionals and freshers. IT professionals are leaning towards making a career in the evolving data science domain.  

Evolution of Data Science

Data analysis started in the 1960s that has resemblance with data science. The term data science was used first in 1985 in the lecture given at the Chinese Academy of Sciences in Beijing by C. F. Jeff Wu as an alternative word for the statistics. In 1992, three aspects did the successful introduction of a new, interdisciplinary and emerging field of data science:

  • Data collection
  • Data design
  • Data analysis

These theoretical concepts and arguments turned into modern data science in 2001 to expand statistics in technical areas. Though it has been 20 years now, there is no consensus on the definition of data science. It is still a buzzword for many professionals as well as freshers.

Data Science Course Syllabus

In-depth research is improving our understanding and knowledge in Data Science, and thus the study material keeps updating every day for Data Science. There are numerous courses, workshops, training programs, and degrees available for data science held by institutions, universities, and organisations.

With advancements, the data science course syllabus is updated. Some freshers want to start their careers in data science and look for introductory courses that include concepts, hands-on practice, and projects that provide them with the skillset to start working in data science companies.

Most organisations/institutes offer a Data science course syllabus. If we see upGrad’s course syllabus for data science, it includes:

  • The concepts of data analysis in excel, Python, and SQL.
  • Introductory sessions on Python’s application for Data Science.
  • Assignments to strengthen beginners’ ideas. Python is a widely used programming tool for data science and is thus part of all organisations’ data science course syllabus.
  • Concepts and hands-on practice on modern technologies such as machine learning, deep learning, natural language processing, computer vision, business intelligence, data analytics, and data engineering.
  • Real-time projects for candidates opt to be data scientists, analysts, and developers. These projects help candidates clearly understand technologies and their relevance with data science and finally, how to use them in real-time business development and growth.

upGrad has created one of the most suitable data science course syllabi for professionals. This course is delivered online with learner’s pace and different formats such as certification or Post-Graduate Diploma.

The course contains preparatory sessions covering data analysis and introduction to the programming language used in data science. Various toolkits like Python, MySQL, and Excel are focused on data toolkits that help candidates visualise, programming, and solve assignments given as a part of the data science course.

As machine learning, deep learning, natural language processing, business intelligence, business analysis, and data engineering are fundamental, data science is evolving rapidly. Most of the available data science courses, such as upGrad’s PG Diploma in Data Science course, have dedicated individual topics for these technologies and their use for data science using different tools.

data science data science course

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Data Science Course in Bangalore | Data Science Training Bangalore - 360DigiTMG

Avail The Data Science Courses in Bangalore and Kick Start Your Career as a Successful Data Scientist in Bangalore within 4 months. Classroom/Online Data Science Course in Bangalore with Placements or Money Back.

Data Science Course Online - Top Data Scientist Training Program

Data Science courses online taught by best data scientists & IBM experts will masters you in data analytics. Get IBM Data Scientist certification course training!

What Are The Advantages and Disadvantages of Data Science?

Online Data Science Training in Noida at CETPA, best institute in India for Data Science Online Course and Certification. Call now at 9911417779 to avail 50% discount.

How To Build A Data Science Career In 2021

In Conversation With Dr Suman Sanyal, NIIT University,he shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

'Commoditization Is The Biggest Problem In Data Science Education'

The biggest problem we face today is the commoditization of education. Individuals and corporations alike would like quality courses to be offered by the best faculty at the lowest price