Are you looking to pursue a career as a data scientist? Are you looking for the Best Online Data Science courses?
If it is true, then you are in the right place where you will find the in-depth details of the Best Online Data Science Courses for IT professionals or freshers. Data Science is a booming field in the Industry, and you can build your career by taking a data science online course to work with the top IT companies in the world.
Data science has a wide range of career opportunities. Its field is so vast that one can earn a high pay scale if they choose the correct field according to their expertise.
With the best data science certification course, you will know how to use data science to solve business problems and get a successful data scientist career in the IT world.
The data science courses mentioned in the list are offered by Coursera, Udemy, Dataquest, DataCamp, and Udacity.
Whether a graduate or a professional can choose the best data science training program as required. Furthermore, these courses also give you plenty of benefits of hands-on projects and placement guides for your fantastic career.
Hopefully, this article will help you to choose the best data science online course to meet your expectations while learning about various course options.
Best Online Data Science Courses
If you are seeking a career in data science then it is essential that you know Python and its application as well as other scientific uses.
Nonetheless, these courses can be accessed by beginners as well as advanced programmers who are looking to brush up on their existing knowledge. Let’s discuss the Online Data Science Courses:
This IBM Data Science Professional Certificate is fruitful for beginners to enhance their skills and polish their resumes to sustain themselves in the IT industry. This certification course offers nine online data science courses to your schedule.
This Data Science Professional Certification course covers the fundamentals of data science, tools, libraries, methods, python, data analysis, data visualization, machine learning algorithms, and hands-on projects to develop your career in data science.
Apart from this, it covers advanced data science tools for professionals (like Jupyter Notebooks, R Studio, GitHub, Watson Studio) that enable you to develop AI applications and give you practical skills for getting higher-paid jobs.
- Earn credits: Credit eligible at 3 universities that offer degrees on Coursera, when you complete, you can earn up to 12 college credits.
Best for: Beginners | Rating: 4.6 | Provider: IBM
Launch your career in data science and machine learning with Introduction to data science course to develop your skills as a data scientist. In this course, you will learn about tools, applications, methodologies, and practical exercises that can apply to real-world data sets that are used in data science and Machine Learning techniques.
Introduction to Data Science course for beginners will teach you “what is data science”, “tools for data science” and how companies apply data science in business. Learn the core concepts like Machine Learning, Deep Learning, and Neural Networks that can help you make data-driven decisions.
Furthermore, if you are interested in learning more about data science, then this Introduction to data science online training program for learning data science methodology, databases and SQL for data science with python. In this course, you will learn about the methods for solving problems of Data Mining, and SQL from the beginning of Select statements to advanced concepts like JOINs.
By the end of this course, you will get practical experience in solving real-world problems with SQL statements, Cloud databases, and Jupyter notebooks. However, you can develop final projects with the help of more than seven instructors that will grow your career in data science.
- You can earn Shareable Specialization upon competition from Coursera.
Best for: Beginners | Rating: 4.7 | Provider: IBM
This applied data science with Python Specialization is offered by the University of Michigan. This Data Science training program includes 5 courses for those who have experience in basic Python and programming language.
You will learn about statistical analysis, data visualization, data analysis, applied machine learning, and social network analysis with the help of Python libraries, tools, and techniques.
This Applied Data Science with Python Specialization Course will start with an introduction to Data Science in Python for a basic understanding of python programming techniques such as lambdas, and Python libraries, like NumPy, matplotlib, and pandas. So that, You will be able to read, manipulate CSV files, and conduct an inferential statistical analysis.
Furthermore, this specialization course will teach data visualization through reporting and charting using the matplotlib library. After that, you can apply for an applied machine learning program where you can learn advanced techniques, such as clustering data, building ensembles, and practical limitations of predictive models through popular python toolkits- scikit-learn.
For data science professionals, this course introduces applied text mining to gain knowledge about text mining and text manipulation with the help of the nltk framework. Although, you can learn network analysis through tutorials using the NetworkX library for social network analysis and network robustness.
By the end of the course, you will get a Shareable Certificate after completing the hands-on projects and specialization.
Best for: Intermediate | Rating: 4.5 | Provider: Coursera
The Data Science Specialization Course is for those who have Basic Skills in Python and want to build a career in data science. With a 100% flexible schedule, you can start by asking the right question about the data science toolbox to visualize real-world data sets. Apart from this, you will also learn manipulation of data with the help of version control, markdown, git, GitHub, R, and RStudio.
With this Course you can learn how to use the R programming language to clean, analyze, and visualize data to manage data science projects. Even, data science course covers regression analysis, exploratory techniques, reproducible research, least squares and inference using regression models, and practical machine learning algorithms to get expertise in data science.
With experienced professors in data science, you will navigate the entire data science pipeline from data acquisition to publication and also know how to use GitHub to manage data science projects. Furthermore, Data Science Capstone is the USP of this online data science training program to create a usable/public data product that enhances your potential skills in the job market.
- Spark your career with Shareable Certificate after completing data science specialization course within 11 months.
Best for: Beginners | Rating: 4.5 | Provider: Coursera
If you are willing to build your career in data science but have no prior knowledge of programming languages, let’s start with a Data Science Fundamentals with Python and SQL Specialization course. There are five Concepts under the data science training program where you will learn the core concepts of data science, data science tools, machine learning, the python programming language for AI development, statistical methods, and more.
Although, after learning theoretical concepts, you will gain a working knowledge of practical hands-on projects with the help of RDBMS, and SQL for Data Science with Python to develop data scientist skills for getting a higher-paid job.
Furthermore, the experienced instructors provide you with in-depth knowledge of the Data Scientist’s tool kit with Libraries & Packages, Data Sets, Machine Learning Models, and Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. You will become familiar with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio to develop advanced data science projects within seven months.
Explore your career in data science with this beginner-friendly self-paced course and grab the vast knowledge of Python libraries (such as Pandas, Numpy & Beautiful Soup) to perform tasks such as data collection and web scraping with APIs. skills.
By the end of this course, you’ll feel comfortable creating multiple real-world projects to demonstrate your skills. After completing this course, you can earn up to 8 college credits and a Shareable Certificate.
Best for: Beginners | Rating: 4.6 | Provider: Coursera
Build your career in Data Science with Introduction to Data Science in Python. This course is one part of the five courses in Applied Data Science with Python Specialization.
This data science course is offered by the University of Michigan where you can learn the basics of the python programming language, Python functionality and features used for data science, tools, techniques, and libraries with flexible learning schedules.
In addition, you will be able to read and manipulate CSV files through Lambdas technique and Numpy library for data analysis. Furthermore, this course will introduce data manipulation and cleaning techniques by using Python Pandas libraries and algorithms.
Even the experienced instructors will teach you how to use functions such as groupby, merge, and pivot tables by providing tutorials, practical labs, and assignments. Moreover, you can complete this course within approximately 35 hours with a better understanding of tabular data cleaning, manipulating and running and inferential statistical analyses.
Best for: Intermediate | Rating: 4.5 | Provider: Coursera
Kickstart your career in Data Science with Complete Data Science Bootcamp offered by Udemy, and you will gain the in-depth knowledge and skills to become a data scientist.
In this course, you will learn data science toolboxes like Statistical analysis, and Python programming with NumPy, pandas, matplotlib, and Seaborn.
Upgrade your resume with job-ready skills Advanced statistical analysis,Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow.
Furthermore, you will learn how to pre-process data and Machine Learning algorithms in Python to solve real-life business problems. Although, you can enhance your skills by learning underfitting, overfitting, training, validation, n-fold cross validation, testing, and more to improve machine learning performance.
This Data Science Bootcamp course is for all beginners who are having no prior Programming skills.
Total Articles: 92 | Course Duration: 31hrs | Total Downloadable Resources: 542
Launch your career in data science with Python language and gain essential skills to become a data scientist. In this course, you will learn the core concepts of Python, functions, tools, and libraries that allow you to import, clean, manipulate, and visualize data.
This Data Science online certification course by Datacamp is a platform where you can learn advanced libraries of Python for data science like pandas, NumPy, Seaborn, Matplotlib, and many more. You will work with hands-on projects with real-world datasets by applying statistical methodology and machine-learning techniques. With hypothesis testing, you can build predictive models to polish your data science skills in the IT industry.
Course Duration: 96hrs | Total Courses: 25 | Total Projects: 6
If you are familiar with machine learning concepts, python programming, probabilities and statistics, and want to become an expert in Data Science, then choose the Data Science Course offered by Udacity. In this course, you will learn how to solve data science problems with effective data visualization, and various stakeholders towards real-world datasets. You will be able to create a project with the help of github repository for enhancing your skills and knowledge in machine learning.
Become a Data Scientist with Nanodegree programs where you can improve your essential skills as a data scientist through unit tests. Furthermore, you will learn the data science process and acquire more knowledge about data transformation, build models, and deploy solutions to the cloud to develop software engineer skills in the data science field.
Apart from this, you will gain advanced machine learning mechanisms to create datasets for AI applications to improve emergency services with Figure Eight company. You will also learn how to build a data pipeline to send emergency messages based on priorities while major natural disasters spread in the world.
With a data science training program, you will become a successful data scientist and can create open-ended projects designed by industry experts to demonstrate your ability. You can complete this course within 4 months and learn how to find the best solution to a real-world problem with data analyses to develop data science capstone projects and upgrade your job-ready skills in the IT field.
There are many more platforms and courses available online to learn data science which may suit your schedule and budget.
However, this is the complete list of all the best data science courses which we feel are reliable and easy to understand for all types of learners.
Nowadays, Data Science is a booming field to study in the IT Industry. You can build your career in data science by taking any data science course to work with the top IT companies. If you are a beginner, you can start with the Python programming language with the best Python Courses in Data Science.
Hopefully, this article will help you choose the best data science online course to meet your expectations, and you will enjoy it while reading it.
Do you know more? Let us know in the comment section.