1. Resources
    2. Education

Top Online Data Science Courses

Posted Date: 17 Jul 2024 |Updated: 17-Jul-2024 |Category: Education |Author: |Member Level: Gold |Points: 100 |


This list contains the best data-science programs, certifications, and courses you can pursue in 2024. Read more to upskill yourself and get a job in data science as soon as you complete the course.

To select the top data science courses for 2024 you must consider key factors such as syllabus depth, suitability for different skill levels, and course design. Emphasis must be placed on features like placement support, hands-on projects, and specific durations for each course. This article discusses the prerequisite skills for enrollment and course rankings based on their features and cost-effectiveness. This approach aims to help students choose courses that best match their career goals and learning needs in the rapidly evolving field of data science.

You will be able to improve your skills and land a job in data science. This list includes details on how you can get a business analytics certificate that professionals and students widely use.

1. Great Learning offers Data Science courses


The target audience is recent graduates and professionals who want to improve their skills.
Learn from experts about the skills that are in high demand.
Dual certifications are awarded by universities globally recognized for their industry-ready readiness.

Highlights of the course

  • Flexible Learning - Online modules that can be accessed at your own pace.
  • Career Growth - Acquire industry-ready skills facilitating successful career transitions.
  • Curriculum comprehensive - Covers in-depth Data Visualization and Data Analytics.
  • Skills Development - Improve critical thinking, problem-solving, and essential technical skills and soft skills required for business roles.
  • Global Accreditation - Collaborations with world-renowned universities and institutions.

2. Advanced Data Science Program at IIM Calcutta


This program will teach students how to manage, analyze, and interpret information using different tools and techniques. This program is designed for professionals who are interested in gaining hands-on experience with data analysis and working with it. This program focuses on data management and analysis with an introduction to tools such as SPSS Modeler, Tableau, Python @Risk (oracle SQL), R Hadoop, Arena, etc. After completing the program, students can to apply advanced statistical and numerical methods to make informed and efficient decisions.

Highlights of the course

  • This course will introduce you to the fundamentals of Data Science. You will learn about Machine Learning and Data Interpretation and Analysis.
  • By learning to manage, analyze, and interpret data, you will gain valuable insights.
  • This course provides hands-on practice with the various programming languages needed for data science.
  • You will be guided throughout the project by IIM experts

3. Harvard University is offering a Professional Certificate of Data Science.


Students will develop the skills necessary to tackle real-world challenges in data analysis. By learning R programming and machine intelligence through real-life examples, you can get an early start in your career as a data analyst. You will also learn data visualization using ggplot2, manipulation of data with dplyr, and Linux file management. This program consists of nine flexible and affordable courses. You will be able to work independently after completing the program.

Highlights of the course

  • The course introduces students to Data Science Basics, Data Science Visualization, and Data Science Tools. It also covers Probability and Inference, Modeling, Productivity Tools, and Modeling Tools.
  • You will learn the fundamentals of data science by studying real-life case studies.
  • You will also be taught how to implement machine learning algorithms using advanced tools.
  • You can learn from global partners through this specialization.
  • The program concludes with a Professional Certificate in Data Science, which students can show to potential employers.

4. Johns Hopkins University has a Data Science Specialization.


The course will provide you with the tools and concepts you need to begin your journey in data science. Your final capstone project will be based on the data that you have worked with. You must have some programming knowledge (it doesn't need to be R) and a solid understanding of algebra. It is not necessary to know calculus or linear algebra, but it can be helpful. Students who complete this data science course successfully can showcase their subject knowledge through an impressive portfolio.

Highlights of the course

  • This program will cover topics such as Github (Rstudio), Machine Learning (Data Science), Data Analysis, and Data Science. It will also cover Debugging and Regular Expression, Data Manipulation, and Cleaning.
  • The curriculum was balanced both in terms of depth and breadth.
  • R is a programming language that combines theory with applications.
  • This course introduces you to key concepts and tools in a data scientist's toolbox.
  • Learn about the questions, data and tools that data analysts and data scientists use.


5. MicroMasters programs in Statistics and Data Science MIT


This Micromasters Program was designed to teach students data science, statistics, and machine learning. With solid data analysis, you will be able to make accurate predictions and manage large amounts of information. You will be able to work as Data Scientists or Data Analysts. The program consists of four online intensive courses followed by a virtual online test proctored by a third-party.

Highlights of the course

  • This course introduces you to the fundamentals of data science, machine learning and statistics.
  • By gaining valuable insights, you will learn to analyze and utilize big data and make data-driven predictions.
  • The Python project helps students gain a better understanding of machine learning. They will learn about linear models, deep learning, and reinforcement learning.
  • Learn about both supervised and unsupervised learning methods, including deep neural networks.

6. Data Science Using R and Python


This course will teach you how to use statistical models in programming languages such as R and Python to discover hidden but valuable information in data. This course is an excellent introduction to machine learning. This course will give you the foundations to succeed in the lucrative Data Science industry. You will learn to extract information from structured and unstructured data using different methods, algorithms and processes.

Highlights of the course

  • Students will learn the basics of programming and logic. Algorithms and Data Structures. Web and API. Data types and data structures. Tools and Utility. Algorithms, Machine Learning and Algorithms
  • Students in the fields of finance, biology, and economics will benefit from this course.
  • Learn Python basics, including Numpy, Matplotlib, and other beautiful libraries.

7. Bootcamp on Python Data Science and Machine Learning


This course will show you how to use Python for Data Science and Machine Learning. This course is for those who have some basic knowledge and don't need to start at the beginning. To help you learn, the instructor will guide you through Jupyter notebooks. The instructor will then provide a video explaining the solution to each problem. This course is best taken in conjunction with a separate statistics and probability course.

Highlights of the course

  • This course will show you how to analyze data using machine learning algorithms.
  • The course will cover topics such as Python for Data Science (Data Science), Machine Learning, Analysis of Big Data, and Support Vector Machines.
  • The course is of high quality and the price is fair.
  • Kaggle is a great tool for students to learn more about data sets.



Comments

No responses found. Be the first to comment...


  • Do not include your name, "with regards" etc in the comment. Write detailed comment, relevant to the topic.
  • No HTML formatting and links to other web sites are allowed.
  • This is a strictly moderated site. Absolutely no spam allowed.
    • Name:
    Email:
    Submit Article
    Return to Article Index

    Top Contributors

    Today
      Last 7 Days

      more...

      About Techulator.com

      We believe in providing quality content to our readers. If you have any questions or concerns regarding any content published here, feel free to contact us using the Contact link below.

      Reviews
      Quick Links
      Technology

      Digital Marketing by SpiderWorks Technologies, Kochi - India. ©