Top 9 Online Data Science Courses
Data science is a highly in-demand field that involves gaining insights and predictions from data using algorithms and scientific methods. With an estimated 11.5 million data science jobs to be available by 2026, it is a lucrative career path with tremendous growth opportunities. To help you get started, we have listed the best data science courses and programs that will equip you with the skills needed to excel in this field.
1. Data Science and Machine Learning Program by IQCode
2. IBM Data Science Professional Certificate
3. Advanced Program in Data Science by IIM Calcutta
4. Professional Certificate in Data Science from Harvard University
5. Data Science Specialization from Johns Hopkins University
6. MicroMasters Program in Statistics and Data Science from MIT
7. Data Science with R and Python
8. Python for Data Science and Machine Learning Bootcamp
9. Machine Learning, Data Science and Deep Learning with Python
Enrolling in one of these courses can lead to steep career growth, enabling you to be well-equipped to tackle real-world problems in data science. Whether you are looking for an introduction to the field or to build a promising career, these specialized courses provide the exposure needed to succeed.
In conclusion, the field of data science offers vast opportunities, and by enrolling in one of these top data science courses, you will be on the right path to mastering data science.
Additional Resources:
Here is a comprehensive list of the top data science courses for 2023, considering factors like syllabus covered, course duration, required skills, course fees, and outcomes. These courses are designed for different expertise levels and are both free and paid online certificate programs. Pursue these courses to upskill yourself and excel in a career as a data scientist.
1. Data Science Essentials – IBM
2. Applied Data Science with Python – IBM
3. Harvard Data Science Certification
4. Data Science Fundamentals – Cognitive Class
5. Applied Data Science – University of Michigan
6. Certified Analytics Professional (CAP)
7. Tableau Certification Courses
8. Data Science Certification – Johns Hopkins University
9. Data Science MicroMasters – Massachusetts Institute of Technology (MIT)
Data Science and Machine Learning Program by IQCode
IQCode’s Data Science and Machine Learning program is tailor-made and highly popular in the online learning space. With insights from advisors at the top 50 tech companies, this program aims to cover all aspects of data science – from programming basics to advanced topics such as deep learning and predictive modelling. Students can work on real-world projects and receive real-time feedback from industry professionals, alongside dedicated career support and 1:1 mentorship programs. The course fees are INR 3.59 lakhs including GST with 100% refund available within two weeks. Coding experience or knowledge of at least one programming language is required to get started. For more details, click here.
IBM Data Science Certification Program
The IBM Data Science Professional Certificate prepares individuals for data science positions through a series of 9 online courses. These courses cover a range of topics such as open-source tools, SQL, Python, predictive modeling, and machine learning algorithms. Participants gain hands-on experience in data science concepts and have access to tools such as Zeppelin, RStudio, Jupyter Notebooks, and IBM Watson. With this certificate, participants have a portfolio of data science projects that can give them confidence for exciting career opportunities. This program is self-paced and ranges from 2-12 months depending on the individuals learning pace. The subscription costs range from $29-$99 per month with a Coursera subscription. No programming knowledge is mandatory but applicants should have a basic understanding of mathematics and statistics.
Advanced Program in Data Science by IIM Calcutta
This program is designed for professionals who want to gain hands-on experience in handling, managing, analyzing, and interpreting data. Students will learn data management and analysis using tools such as SPSS Modeler, Oracle SQL, Tableau, Python, and R. Upon completion, students will know how to apply advanced statistics and methods for making informed decisions.
Course Highlights:
- Learn data science, math, statistics, and machine learning.
- Gain hands-on experience in data analysis and interpretation.
- Get practice in programming languages required for data science.
- Receive guidance from IIM experts during the project.
Skills Required: Basic understanding of mathematics and statistics.
Duration: 12 months
Fees: INR 4.40 Lakhs + GST.
Professional Certificate in Data Science from Harvard University
Get the skills and knowledge needed to handle data analysis challenges with this Harvard University program. The curriculum includes R programming, machine learning, and data visualization using ggplot2 among other case study lessons. Nine affordable, flexible courses cover Data Science Basics, Data Science Visualization, Probability, Inference and Modeling, Productivity Tools, Wrangling, Linear Regression, Machine Learning, and more. Upon completion of the program, students will work independently on data analysis projects.
Course Highlights:
- Get hands-on experience in Data Science using real-world case studies
- Learn about advanced tools to implement machine learning algorithms
- Learn from global partners of the University
- Upon program completion, receive a Professional Certificate in Data Science
Skills Required: Basic knowledge of mathematics and statistics, programming knowledge not required.
Course Duration: 1 year 5 months (2-3 hours/week approx)
Course Fees: $792.8
Johns Hopkins University Data Science Specialization Course
The course provides a comprehensive introduction to tools and concepts essential for data science. In the concluding capstone project, you will apply your skills on real-world data to create a data product. Some experience in programming and basic knowledge of algebra is expected, and familiarity with linear algebra and calculus could be helpful but not obligatory. Upon graduation, you can showcase your mastery in an impressive portfolio.
Course Highlights:
- Fun and exciting topics – R Programming, Machine Learning, Data Science, Data Analysis, and more.
- Balanced breadth and depth of curriculum.
- The R programming language offers extensive practical experience.
- Learn the main ideas and tools of a data scientist’s toolbox.
- Gain insights into the questions, data, and tools data scientists use.
Skills Required: Basic math and statistics knowledge; Programming experience is not necessary.
Duration: 11 months, 7 hours a week (approx.)
Fees: Free or $49/month for graded materials and certificate.
Micromasters Program in Statistics and Data Science from MIT
This program teaches data science, machine learning, and statistics. You’ll handle big data and make predictions based on analysis. After completing four intensive online courses, you’ll take a virtual proctored test for a certificate.
Course Highlights:
* Learn the fundamentals of data science, machine learning, and statistics.
* Analyze big data and make predictions based on insights.
* Gain understanding of machine learning through hands-on Python projects, from linear models to deep learning to reinforcement learning.
* Work with supervised and unsupervised learning methods like deep neural networks and clustering.
Skills Required:
Anyone can take the course, but familiarity with mathematical reasoning and Python programming helps.
Course Duration: 14 months
Course Fees: INR 1 Lakh
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Micromasters Program in Statistics and Data Science from MIT
This program teaches data science, machine learning, and statistics. You’ll handle big data and make predictions based on analysis. After completing four intensive online courses, you’ll take a virtual proctored test for a certificate.
- Learn the fundamentals of data science, machine learning, and statistics.
- Analyze big data and make predictions based on insights.
- Gain understanding of machine learning through hands-on Python projects, from linear models to deep learning to reinforcement learning.
- Work with supervised and unsupervised learning methods like deep neural networks and clustering.
Skills Required: Anyone can take the course, but familiarity with mathematical reasoning and Python programming helps.
Course Duration: 14 months
Course Fees: INR 1 Lakh
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Learn Data Science with R and Python
This course teaches statistical modeling in R and Python to uncover hidden information in data. It offers an introduction to machine learning, providing a solid foundation in Data Science. You’ll learn how to extract insights from structured and unstructured data using methods, algorithms, and processes.
Course Highlights:
- Programming Basics and Logic, Data Structures and Algorithms, Web and API, Data Types and Data Structures, Tools and Utility, Algorithms and Machine Learning are included.
- Great for finance, biology, economics and humanities students
- Covers Python fundamentals as well as libraries such as Pandas, Numpy, and Matplotlib.
Skills Required: No prior coding experience, Python or R knowledge is needed.
Course Duration: 14 hours (approx.) with full lifetime access.
Course Fees: Varies between INR 500-3500.
Python for Data Science and Machine Learning Bootcamp
This course teaches Python for Data Science and Machine Learning to those who already have programming experience and do not require foundational knowledge. The instructor guides learners through Jupyter Notebook workbooks followed by explanations of each challenge via video. Students will learn various techniques including ML algorithms, Random Forest, Decision Trees, Support Vector Machines, and Neural Networks. Familiarity with Python is preferred. The 25-hour course is affordably priced at INR 500-3500 and includes lifetime access to course materials. Additionally, students can use resources such as Kaggle to learn more about datasets.
MACHINE LEARNING, DATA SCIENCE, AND DEEP LEARNING WITH PYTHON
This course is ideal for tech professionals who want to enter the field of data science, big data, and deep learning. Prior experience with Python is necessary. The course will teach you the skills required to work in the tech industry and help you prepare for a job in this field.
COURSE HIGHLIGHTS:
* Teaches Predictive Models, Recommender Systems, Generative Models, Regression Analysis, Deep Learning & Neural Networks algorithms.
* Covers a variety of topics related to ML, Deep Learning, and Neural Networks.
* Provides lifetime access to the course as well as some downloadable resources.
PREREQUISITES:
Prior script or coding knowledge. Basic math skills are also required.
DURATION: 16 hours (approx.) with unlimited lifetime access.
FEES: INR 500-3500 (varies).
Upskill with Data Science Training Courses
The World Economic Forum predicts that over 40% of professionals will need to upgrade their skills by 2025. To stay competitive, it’s crucial to acquire modern, in-demand skills. Data Science is one of the fastest-growing fields that can lead you to work for renowned companies and aid in crucial business decisions. Enrolling in a personalized Data Science training course will help elevate your career.
Full-length courses from IQCode, Harvard University, IIM Calcutta, etc. cover most of the topics necessary for expertise in Data Science. These courses also provide exceptional career and placement guidance. Conversely, short-duration courses from Udemy or Coursera might not cater to students’ expertise levels.
Becoming Data Science certified will expand your horizons and grow your career. Check out IQCode’s offerings for learning 45+ tools, working on 80+ case studies, and receiving 1:1 mentorship. Sign up for a FREE class to get started!
Additional Resources
Here are some useful resources for data scientists:
- Data Science MCQ
- Google and Spotify Data Scientist Salaries
- Data Science Projects
- Data Science Books
These resources provide valuable insights on the field of data science, including salaries, projects, and the differences between data science, data analytics, and machine learning.
