Data science is one of the most sought-after career options. Working as a Data Scientist is something that not only gives you joy and pride but also enables you to draw a handsome salary. Yes, you heard it right! Individuals working in the data science space earn more than several other IT roles. Here, in this article, we shall discuss some of the best data science courses .
Typically, data scientists need to work with huge amounts of data. They have to collect, analyze, and present data in such a way that it becomes easy to discover trends that can help a business make better decisions. Also, there are different types of roles among data science experts, such as data analyst, data architect, machine learning engineer, data engineer and data scientist .
Irrespective of the role that you want to assume as a data science expert, you need to develop an in-depth understanding of the concepts that govern the field of data science.
To help you get started with your journey of becoming a data science expert, we have compiled a list of the top data science courses . These courses can help you develop the relevant knowledge and skills required to work as a data science expert.
So, without further ado, let’s get started!
10 Best Data Science Courses in 2023
If you are willing to learn and master data science, the following courses can help you out. Make sure to go through the overview of each course so that it becomes easy for you to choose the best data science course online that suits your interests.
1. Data Science BootCamp [Recommended for Easy Learning]
Highlights
- Course Provider: OdinSchool
- Level: Advanced
- Duration: 6 months
- Instructor: OdinSchool
- Certificate: Yes
OdinSchool’s Data Science Bootcamp is an immersive, industry-aligned 6-month program with a Data Science job as the outcome. The Bootcamp comes with live interactive sessions, career services, and placement assistance. They have a proven track record of placing freshers, working professionals, and professionals with long career gaps at leading companies such as PepsiCo, Capgemini, Indegene, Prolifics, and so on.
The curriculum is industry-vetted and the instructors are industry experts with extensive experience. The Bootcamp targets the highest state of job readiness by prioritizing in-demand skills and project-based learning.
Key Highlights:
- Ideal for both beginners and working professionals
- Suitable for professionals and freshers from non-technical backgrounds
- Live Interactive Classes
- Cohort-based learning
- 7 Portfolio-worthy projects
- Interactions with Industry Experts
- Dedicated Student Success Team
- Placement Assistance
Apply for the course here .
2. The Data Science Course 2023: Complete Data Science Bootcamp
Highlights
- Course Provider: Udemy
- Level: Beginner
- Duration: 30 hours (approximately)
- Instructor: 356 Careers Team
-
Certificate:
Yes
This is a comprehensive Data Science program offered by Udemy that can help you understand data science from scratch. It helps you get familiar with various tools that you need to leverage as a data scientist to accomplish your everyday tasks. Moreover, the course aims to help you learn Python programming and understand certain Python libraries , such as NumPy, pandas, and matplotlib.
As data science involves deep learning and machine learning , you will get to know about TensorFlow, which is one of the most popular deep learning frameworks. Also, the course will guide you through the strategies to boost the effectiveness of machine learning algorithms. While the course is quite lengthy, it is divided into 64 sections to make sure you learn everything step-by-step.
Key Highlights
- The course will help you learn certain concepts in mathematics, statistics, and advanced statistics utilized in data science.
- Along with video lessons, the course provides you with test quizzes and downloadable PDFs.
- After buying the course, you can access its content for an indefinite time.
- While there are no technical prerequisites to learn this course, you only need a computer to get started.
- This course is recommended for individuals willing to become data scientists.
You can sign up for the course here .
3. Data Science Specialization
Highligthts
- Course Provider - Coursera
- Level - Beginner
- Duration - 11 months (7 hours/week)
- Instructor: John Hopkins University
- Certificate: Yes
If you want to get a headstart on building a career in data science, you need to consider this specialization available on Coursera. The specialization is created by John Hopkins University, and it is a combination of 10 courses. Also, the instructors for the courses are three highly experienced professors from the Bloomberg School of Public Health, namely Jeff Leek, Roger D. Peng, and Brian Caffo.
By enrolling in this Data Scientist best course , you will get exposure to the tools used by professional data scientists. Also, it will help you learn various concepts of R programming that are essential for carrying out data analysis . Other topics covered by this data science specialization include data cleaning, exploratory data analysis, statistical inference, regression models, and machine learning.
Key Highlights
- It is among the top-rated data science learning resources available on the web.
- The specialization is utterly suitable for individuals who are completely new to data science.
- You will develop a real-world project at the end of the course to test your knowledge. Also, you can add the project to your portfolio to showcase your skills to recruiters.
- For individuals who cannot afford the fees, there is a provision for scholarships and financial aid.
To get started with the course, you can enroll here .
4. Data Science: Machine Learning
Highlights
- Course Provider - Harvard University
- Level - Beginner
- Duration - 8 weeks (2 - 4 hours/week)
- Instructor: Rafael Irizarry
- Certificate: Yes (Verified Certificate for $99)
This is yet another popular data science course for beginners who want to learn data science effectively. The course focuses on one particular aspect of data science, which is machine learning . By taking this course, you will get to know about the most popular machine learning algorithms and principal component analysis. Also, you will build a movie recommendation system to get an in-depth idea of how machine learning works in the real world.
While the course will guide you on how to train machine learning algorithms, it will also explain techniques that help avoid overtraining. The instructor for this course is Rafael Irizarry who is a professor of Biostatistics at Harvard University.
Key Highlights
- It is an introductory course, so you need no prior knowledge of data science and machine learning to get started.
- You can learn at your own pace.
- The course only covers machine learning topics, so you may need to take other courses to learn different aspects of data science.
- You can take this course for free.
Get started with the course here .
5. Python for Data Science and Machine Learning Bootcamp
Highlights
- Course Provider - Udemy
- Level - Intermediate
- Duration - 25 hours (approximately)
- Instructor: Jose Portilla
- Certificate: Yes
If you want to learn how you can leverage Python for data science , this course can be a great option. However, it is recommended for you to have experience working with Python to take this course. This online data science course is created by Jose Portilla, who has been teaching Python programming, data science, and machine learning for several years. Through this course, he aims to teach you everything that you need to become a data scientist.
As machine learning is a crucial part of data science, you will learn how to implement machine learning algorithms. Moreover, the course will expose you to the basics of neural networks and deep learning. Some of the key concepts covered in this course include linear regression, logistic regression, natural language processing (NLP), and big data.
At the end of the course, you will also get familiar with some of the most popular Python libraries for data science, such as NumPy, Matplotlib, and SciKit-learn.
Key Highlights
- The course explains how to perform data visualization and data analysis with Python.
- Multiple capstone projects will help you implement your knowledge.
- It is one of the most popular courses on Udemy, with more than 548K enrollees.
- You can access the course content on mobile devices.
You can enroll in the course here .
6. Data Science for Everyone
Highlights
- Course Provider - DataCamp
- Level - Beginner
- Duration - 2 Hours
- Certificate: No
Data Science for Everyone is one of the most popular data science courses among beginners and professionals. The online learning platform, DataCamp, offers this course. It is an introductory course that can help you learn the theoretical part of data science. This course will teach you the different processes that are a part of data science, such as data collection, storage, exploration, and visualization.
One of the best things about this course is that you just need to invest 2 hours in learning the fundamental theory of data science.
To ensure effective learning, the course content is divided into 4 sections. Also, each section consists of video lessons and exercises. To be precise, there are 15 video lessons and 48 exercises.
Also, the course is completely free, and you just need to sign up with the platform to access the course.
Key Highlights
- The course can help you get a detailed overview of the data science field.
- There’s no coding involved, and you can finish the course quickly.
- It can act as a primer before you go for a comprehensive data science course.
To sign up for the course, you can click here .
7. Data Science with R
Highlights
- Course Provider - Pluralsight
- Level - Beginner
- Duration - 2 hours 30 minutes
- Instructor: Mattew Renze
- Certificate: Yes
R is a programming language that, along with Python, is the first-rate choice among data scientists. If you are interested in learning how the R programming language can prove beneficial for you as a data scientist, you can take this course.
Also, as it’s a beginner-level course, there are no certain prerequisites. However, having basic knowledge of programming and statistics can help you learn things quickly.
The prime role of a data scientist is to collect, organize, process, and interpret raw data to extract actionable insights. The course will help you learn to do the same by leveraging the R programming language. Additionally, it will introduce you to topics like descriptive statistics, data visualization, big data, and machine learning.
Key Highlights
- The course is taught by a seasoned data science consultant, Matthew Renze.
- It is among the top-rated courses on Pluralsight.
- Any individual willing to learn the fundamentals of data science can opt for this course.
To start learning the course, enroll here .
8. Machine Learning, Data Science and Deep Learning with Python
Highlights
- Course Provider - Udemy
- Level - Intermediate
- Duration - 15 hours 30 minutes (approximately)
- Instructor: Frank Kane and Sundog Education
- Certificate : Yes
This course is among the best programs for data science that can help you develop an in-depth understanding of data science, machine learning, and deep learning. The best part of this course is that it teaches you how to build artificial neural networks (ANNs).
Also, you will learn about predictive modeling, data mining, and machine learning techniques. This course has 15 sections in total, and the initial sections focus on refreshing your knowledge of Python programming and statistics, and probability.
With the help of this course, you will learn how you can use Python programming and various Python libraries for data science, machine learning, and deep learning. Also, playing with the data is at the center of data science, and thus you will learn how you can leverage Apache Spark to work with big data.
Key Highlights
- The course will guide you on how to build a movie recommendation system.
- It is a suitable course for developers and Python programmers who want to pursue a career in the field of data science.
- To take the course, you must have prior knowledge and experience in Python programming.
To get started with the course, you can register here .
9. Introduction to Machine Learning for Data Science
Highlights
- Course Provider - Udemy
- Level - Beginner
- Duration - 5 hours 30 minutes (approximately)
- Instructor: David Valentine
- Certificate: Yes
As you might already know, machine learning is a crucial part of data science. However, if you want to understand how machine learning and data science fit together, you should consider this best course for data science from Udemy.
David Valentine is a professional enterprise architect and data science enthusiast. He created this course to help beginners understand how machine learning helps tackle various challenges that data scientists face.
With this course, you will learn the core concepts of machine learning. Also, you will get to the machine learning process and machine learning algorithms. The main attraction of this course is that it provides you with an overview of how you can use tools like Python, R, SQL, and RapidMiner to perform data science.
Also, as this course is designed for complete beginners, all the concepts are discussed from the ground up.
Key Highlights
- It is an ideal course for anyone who wants to learn machine learning in the context of data science.
- The course comes with quizzes to help you assess your knowledge.
- No technical prerequisites are there to take the course.
You can enroll in the course here .
10. Become a Data Scientist
Highlights
- Course Provider - Udacity
- Level - Advanced
- Duration - 4 months (10 hours/week)
- Certificate: Yes
Udacity is one of the most reliable platforms for learning technical skills. It offers various nano degree programs for data science for individuals wishing to have career in this domain.
The Become a Data Scientist course/program helps you develop all the essential skills that you need to become an expert data scientist. However, it is important to note that this is an advanced-level course, and there are certain technical prerequisites to take this course.
To enroll in this course, you need to have knowledge of Python programming, SQL programming, basic machine learning concepts, probability, and statistics. At the end of the course, you will gain a deep understanding of the data science process , unit testing, development, and deployment of models.
Key Highlights
- You will work on a data science project to strengthen your knowledge and skills.
- You will get dedicated technical mentor support.
- The course allows you to learn at your own pace.
Get started with the course here .
11. Introduction to Data Science Specialization
Highlights
- Course Provider - Coursera
- Level - Beginner
- Duration - 4 months (5 hours/week)
- Certificate: Yes
Introduction to Data Science Specialization by Coursera can help you pursue a career in the field of data science. It can help you learn the fundamentals of data science as well as machine learning.
The specialization contains 4 different courses, namely What is Data Science, Tools for Data Science, Data Science Methodology, and Databases and SQL for Data Science with Python.
This is a comprehensive data science program that covers several essential topics that you need to learn as a beginner. Also, there are no prerequisites, and you can learn data science from scratch. Most instructors for the courses available in this specialization are professional data scientists, and thus, you can expect to have a great learning experience.
Key Highlights
- You get the option to enroll in an individual course.
- The subtitles for video lessons are available in different languages.
- You will earn a certificate of completion at the end of the course.
You can get started with the course here .
Conclusion
If you want to become a data scientist but are unsure how to develop the relevant skills, the best data science courses listed above can help you get started. You simply need to pick one data science course that aligns well with your requirements. Also, before you opt for a course, go through its content or syllabus and make sure it covers all the topics that matter the most to you.
Do let us know in the comments section which of the above courses has helped you master data science.
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