Data Science is the term used to define the deep knowledge of how the flow of information of large amounts of data takes place in the repository of the organization. It is the combination of algorithm development, data interference, and technology. The Aggregate result of this combination is used to solve analytical problems that are very complex.
Data Science is used by various organizations for finding out meaningful insights from raw and unstructured information. In the modern world, any organization or business needs certified data scientists that are well-skilled and have detailed knowledge. And now, these scientists become the highest-paid professionals.
Data science is the technology in which there is a deep analysis of processes so that we can find out the data in large amounts to examine repetitive patterns. Data Science is also very helpful in controlling and organizing the organization in various aspects such as price, and competition, and can also deal with market aspects.
It is used to find out the origin of the data, for finding aspects in which this information can be used, and how we can utilize this information for providing benefits to various available projects.
Best Data Science Courses
We need to consider some aspects while choosing the best data science course for 2023. So, some aspects are given below:
- Syllabus Covered: Here the details of the course are provided by covering the syllabus scope
- Course Highlights & outcomes: We are also considering various outcomes and some other features of the course such as hands-on projects, and placement assistance that in turn help the Candidate in learning some skills concerning the market.
- Course Duration: Course Duration is also a factor considered in mentioning the details of the course.
- Skills Required: We have also defined the basic skills a user must have to enroll in the dedicated course.
- Course Fees: All the courses have different fees structure and feature so they rank differently based on this. So the fee structure of the courses is also provided.
7 Best Data Science Courses in 2023
In the next section, we will discuss the top 7 data science courses to consider in the year 2023. Let us begin.
1- IBM Data Science Professional Certificate
The IBM Data Science Professional Certificate course is developed to allow the candidate to learn the data science foundations and utilize the tools and techniques used by the professional data scientist in hands-on practice. And no prior computer knowledge is required for this course.
Nine online courses are included in this program by which the latest job-ready skills and best learning are provided to you. Real-world data sets and real data science tools are used in the IBM cloud for hands-on practice during data science learning making this one of the most desired data science courses in 2023.
Course Highlights:
- Hands-on practice with the help of technologies and tools that are used by professional data scientists.
- This course provides the candidate with an opportunity to import the data set and then clean that and analyze and visualize the data so that the machine learning models can be built and developed using the python programming language.
- This course also provides an opportunity for using the skills, tools, and techniques of data science for project completion by working on the real-world data set, and then it allows the publication of the report to the stakeholders.
Course Duration: 11 Months(4 hours of study a week)
Course Fees: 234$ USD
Skills Required: This certificate course is available for anyone having any academic or job background. And there is no need for any prior experience in computer programming for enrolling in the course. But the familiarity of the candidate with communication, computer, and high school math will work as an asset for the course but this is not an absolute requirement of the course.
2 – Professional Certificate in Data Science (Harvard)
Demand for well-knowledged data science developers is increasing day by day in various organizations, industry, academic and government departments. So HarvardX data science program is designed for providing the basic knowledge and skills that proved to be very beneficial in dealing with analytical problems in the real world. Concepts like Machine learning, inference, probability, regression, and so on are being covered in this course.
And also support developing knowledge of R programming, data wrangling with dplyr, management of files and folders along with LINUX/UNIX, controlling versions along with GitHub and git, and designing reproducible documents along with RStudio.
Course Duration: 1 year 5 months (2 – 3 hours per week)
Course Fees: $894 USD
Course Highlights:
- Basic skills in R programming.
- Learn the implementation of various concepts of statistics like inference, probability, and modeling.
- Got to know about the working of tidyverse, along with the visualization of data with ggplot2 and also about wrangling of data along with dplyr.
- Learn more about basic tools that can implement UNIX/LINUX, git, GitHub, and RStudio.
- Implementation of algorithms related to machine learning.
- Thorough explanation of basic concepts of data science with the help of real-world motivating examples.
Skills Required: No compulsion for enrolled candidates must know programming but candidates need to make sure that they must have a basic knowledge of statistics and mathematics.
3 – Scaler Data Science Course
The Scaler Data Science course comes under one of the most popular and considered to be one of the best data science courses. And this course is designed after considering the advice of the top 50 tech companies advisors. Real-world project implementation and getting real-time feedback from industry professionals are the opportunities provided by this course.
For tackling one of the toughest topics Machine Learning and Data Science of Computer Science, well-structured modules are provided by the Thai course. Along with proper modules, it also provides hands-on practice and real-world business projects working opportunities.
Course Highlights:
- Opportunity to work on real data sets and get hands-on practice opportunity
- This course is developed with the top companies’ partnership.
- For clearing doubts and queries, 1:1 communication with the mentor is provided by which your career paths can be defined easily. And mock interviews and real-time feedback are also provided.
- This course provides you with an opportunity to learn 45+ technologies that involve Kafka, pyspark, git, tensorflow, pytorch, etc.
- Provides an opportunity for learning to read the research paper on Deep learning, ML, and DS and also for proper support and guidance for research papers published in the Global Conferences
- Live classes are provided by amazing teachers and all the queries are resolved.
Course Duration: 14 months
Course Fees: $3631 USD
Skills Required: Enrollment in this course does not require programming. Basic concepts can be covered in the beginner module of the course. Even, there is no compulsion for the Candidate to know ML and data science. All basic concepts will be covered in the sketch.
The Only mandatory thing is that you must have basic knowledge of mathematics of 9th and 10th standard but only the concept, not the advanced one. Even though it will cover these topics, if candidates have previously acquired knowledge of these, then it becomes very easy for that candidate and helps them in easy understanding.
4 – MicroMasters Program in Statistics and Data Science from MIT
The MIT Institute for Data, Systems, and Society (IDSS) and MITx developed the MicroMasters program in Statistics and Data Science (SDS). It is considered a multidisciplinary course that provides the 4 courses online and an opportunity of taking the virtually proctored exam. By taking this course you are prepared for becoming an effective and informed data science practitioner.
Course Highlights:
- This course provides the opportunity for mastering data science, machine learning, and statistics.
- Machine algorithms building and development For meaningful information extraction from the data that is unstructured.
- Provides the opportunity to learn supervised methods including deep neural networks and others and unsupervised learning which involves clustering technologies and others.
- For leveraging the big datasets master approaches of modern analysis by R and python are provided.
Course Duration: 18-24 months
Course Fees: $1500 USD
Skills Required: No compulsion for enrolled candidates must know programming but candidates need to make sure that they must have a basic knowledge of statistics and mathematics.
5 – PGP in Data Science and Engineering (Full-Time)
PGP-DSE is a program of 9 months online and 5 months in the classroom for fresh graduates and professionals who are looking for a career in data science and analytics. As there are a huge number of job openings available in data science and analytics, in this scenario right skills and knowledge required to crack these roles are equipped by the PGP-DSE and hence, this is considered one of the top data science courses present there.
Course Highlights:
- This course provides convenient formats for learning.
- And teaching is provided by world-class facilities and experts in the industries.
- Hands-on learning and training in analytics technologies are also provided.
- A certificate of PG is provided by the PGP-DSE institute of management
Course Duration: 9 months online/5 months classroom
Course Fees: $4250 USD
Skills Required: No compulsion for enrolled candidates must know programming but candidates need to make sure that they must have a basic knowledge of statistics and mathematics.
6 – IIT Madras Degree Program in Data Science and Applications
IT Madras, one of the top technical institutes in India provides a 4-year degree of the Bachelor of Science (BS) in Data Science and application. And it is the first course in the world which is providing a BS degree in data science and applications with the opportunity of an early exit in the foundation, Bsc degree level or diploma level.
It was the first time that the opportunity is provided to work from an IIIT for an undergraduate degree/ diploma instead of your location, age, or academic background.
Course Highlights:
- This course provides experienced faculties lectures.
- For learning guidance interactive sessions with the mentors
- For learning from peers and with peers there are study groups for providing good interaction between peers.
- And it also provides the flexibility to the enrolled students to study at their own pace.
- As many courses as you want can take in any duration.
Course Duration: 4 Years
Course Fees: $3825 – $4262 USD
Skills Required: No compulsion for enrolled candidates must know programming but candidates need to make sure that they must have a basic knowledge of statistics and mathematics.
7 – Machine Intelligence and Data Science course IIT Bombay
In February 2020, the machine intelligence and data science (C-MInDS) named institute has been set up at the IIT Bombay for contributing to the growth of Data Science and Artificial intelligence and field related to these domains.
The main aim of this center setup is to provide their active participation in the contribution to nurturing the future talent pool in Data Science and Artificial intelligence basically by providing the facilities of the best teaching, and research and by collaborating with the top tech industries and also with the collaboration of the government.
Course Duration: 12 Months
Course Fees: $2307 USD
Course Highlights:
- It makes the enrolled student familiar with the working of data science, and what is data science and also provide the opportunity to learn how data scientist thinks.
- Hands-on practice opportunities in artificial intelligence and Machine learning are also provided by the course.
Skills Required: No compulsion for enrolled candidates must know programming but candidates need to make sure that they must have a basic knowledge of statistics and mathematics.
Conclusion
These were the top courses you can consider in the year 2023 if you are interested in making your career in the field of Data science. Hope this small guide will help you in your data science career path. Thanks for reading.
