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Thursday, 14 January 2021

12 Best Data Science Courses and certifications in 2022


Are you a Data Science aspirant? or looking to enhence your skill in data science or want to become a data scientist. Surely you need course, certificate or training. You know now a days online learning is a great way to improve yourself. So we have listed 12 best Data Science courses based on user expercience, faculty, price and on Expert advice.

Check our listed DATA SCIENCE courses,Certifications and Training.

Professional Certificate in Data Science by IBM(edx)

This online Professional Certificate in Data Science offered by IBM. The entire course consists of 10 skill-building courses taught by Experts from IBM. 10 courses included open-source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. There is no Pre-requirement to complete the program.

Key Highlights

Learn How to Import and clean data sets, analyze data, build and evaluate data models and pipelines using Python.

Learn different data visualization tools & techniques.

Understand and practice SQL & Python.

Practice and apply Data Science and Machine Learning knowledge, tools & techniques to complete project.

Working on real world challenges using Python.

Anyone have some computer skills and a passion for self-learning can success because the course starts from very basic to advance topic and problems. After this program, you can create a better portfolio and start your career in data science.

Program-Self-paced

Duration- Approx. 1 year 1 Month

Data Science Specialization by Johns Hopkins University(Coursera)

This specialization is offered by Johns Hopkins University on Coursera. This specialization consists of 9 high-quality courses and one capstone project taught by Jeff Leek, Roger D. Peng & Brian Caffo who are master in their field. You will learn about R Programming, Regression Analysis, Rstudio, Data Analysis, Data Manipulation many other skills related to Data Science.

Key Highlights

You will learn about the main tools and ideas in the data scientist’s toolbox.

Learn how R programming use in data analytic and data science with practical issue.

Learn how to take data from various data base and clean them.

Deep understanding about techniques for summarizing data.

Cover concept of Regression models and machine learning.

Learn to develop data informed model, algorithm or inference.

Apply your understanding and knowledge in data science capstone project with real world problem.

You will learn all skills that require for a data scientists. To take this courses you should have beginner level Python knowledge and basic understanding about regression.

Rating-4.5

Duration-11 Months( 7 hours per week)

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

MicroMastersProgram in Statistics and Data Science by MIT(edx)

This micro master program is offered by MIT(Massachusetts Institute of Technology). Instructors are Experts from MITx. The program included 5 graduate-level courses anyone can take online. After successfully complete this program learner will be able to perform Data Scientist, Data Analyst, Business Intelligence Analyst, Systems Analyst, Data Engineer, etc. jobs.

Key Highlights

Make the strong foundation in foundations of data science, statistics, and machine learning.

Learn how to Analyze big data and make data-driven decisions.

Create machine learning algorithms to extract information from different unstructured data.

Very helpful for start your career in Data Scientist, Data Analyst, Business Intelligence Analyst and Data Engineer.

To find out most from this course mathematical reasoning and Python programming are highly recommended.

Duration-1 year 2 Months( 10 – 14 hours per week)

Mode- Online

Certificate- Yes

Applied Data Science with Python Specialization by University of Michigan(Coursera)

This specialization is offered by University of Michigan on coursera. 5 skill based courses taught by professor level instructors. If you have basic level of python programming and you want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkit then you should check this course.

Key Highlights

Advance your skill with 5 high quality courses.

Start with learn basic python programming and fundamental technique like lambdas,manipulating csv files, and the numpy library.

Learn about a good and bad visualization convert your analysis and insights in informative visualization.

Learn applied machine learning models and advance techniques.

understand text mining and text manipulation.

Understand network analysis by using NetworkX library.

This is intermediate level program. Instructors expecting some related experience. There are 5 courses and recommended to take in sequence for better understanding and most output.

Rating-4.5

Duration-5 Months( 7 hours per week)

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Professional Certificate in Data Science by HARVARD University (edx)

Professional Certificate in Data Science is offered by Harvard University. 9 skill-building courses taught by Rafael Irizarry who is a Professor of Bio-statistics at Harward University. As we know the demand for skilled data science rapidly growing. The program helps you to learn and understand basic and advance concepts of data science. The program covers concepts such as probability, inference, regression, and machine learning and helps you develop an essential skill set.

Key Highlights

You will be able to work in R software environment.

You will learn R, statistical concepts, and data analysis techniques.

Many real life case study included. You can learn by asking various question from different case study.

 Learn wrangle, analyze, and visualize data in R programming.

Learn probability theory and apply on learn world case study.

Learn linear regression and machine learning.

There are no prerequisites to start this program.

Duration-1 Year 5 Months( 2-3 hours per week)

Mode- Online with flexible timing.

Certificate- Yes

IBM Data Science Professional Certificate by IBM(Coursera)

The specialization is offered by IBM. The program consists of 9 high-quality courses and one capstone project. Instructors are highly qualified and master in their subjects. You will learn job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.

Key Highlights

Start from very basic and understand data science.

Understand most popular data science tools like-Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.

Understand data science problem and critical thinking.

Learn Python programming, data analysis and visualization with python.

Learn machine learning models and algorithm.

Beginners can take this specialization No prior experience required. you will have built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in data science. In addition to earning a Professional Certificate from Coursera, you’ll also receive a digital Badge from IBM recognizing your proficiency in data science.

Rating-4.6

Duration-11 Months( 4 hours per week)

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

The Data Science Course 2021: Complete Data Science Bootcamp(Udemy)

The course is created by 365 careers. The course is included Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning. The course is ideal for beginners, as it starts from the basic to advance concept and you can apply your knowledge and learning in real business problem.

Key Highlights

Understanding about entire toolbox require for a data scientist.

Understand the mathematics behind Machine Learning.

Learn How to perform linear and logistic regressions in Python.

Learn using using NumPy, statsmodels and scikit and create Machine Learning algorithms in Python.

Carry out cluster and factor analysis.

Learn and apply your skill on real world problem and create your resume & portfolio.

No prior experience is required to join this course. You’ll need to install Anaconda and Microsoft Excel. The course comes with lifetime access you can take course on mobile and TV.

Rating-4.5

Duration-28.5 Hours

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Data Science A-Z™: Real-Life Data Science Exercises Included(Udemy)

The course is created by Kirill Eremenko a data scientist. the course teaches you data science step by step with real Analytics examples. If you are a beginner and want to test data science then you can check this course. In this course, cleaning and preparing data, data visualization, data modeling, data curve fit, etc. are explained step by step. Mainly SQL, SSIS, TABLEAU, and Gretl tools are used to perform the data analysis operation.

Key Highlights

Step by step explanation about complex data science project.

Learn to Create a Multiple Linear Regression.

Learn data mining and visualization in Tableau

Apply SQL to Data Science projects.

Drive meaningful insights from the coefficients of a logistic regression

Understand Microsoft Visual Studio Shell

Anyone interested in data science, or want to improve their data mining,statistical modelling, data preparation and Data Science presentation skills can take this course.

Rating-4.6

Duration-21 Hours

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Data Scientist Nanodegree program (udacity)

The nanodegree program is offered by Udacity. Instructors of this program are industry expert they can guide you in right way.You will learn all the skill that are require to become a data scientist. Project designed by industry expert will be given to understand real world problem and their solutions.

Key Highlights

Learn all data science process including data visualization.

Lean how to communicate your insights to stakeholder for better decision.

Develop software skills that require for data scientist.

 Learn how to run pipelines, transforming data, building models, and deploying solutions to the cloud

Apply your learning and knowledge on real world project.

Technical mentor and community support will be provided.Also provide help in resume building, Github review, and LinkedIn profile optimization. To enroll in this program make sure you have basic knowledge of Machine Learning,  Python programming, probability, and statistics.

Rating-4.7

Duration-4 Months( 10 Hours per weak)

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Complete Machine Learning & Data Science Bootcamp 2021(Udemy)

The course is designed by Andrei Neagoie and Daniel Bourke. Both are industry experts and have rich experience in a wide range of industries. You will learn data science from scratch. Basic to advanced topics are covered in this course. Beginners or experienced with coding both can take the course. It will be helpful for all levels of learners. Data Exploration and Visualizations, Neural Networks and Deep Learning, Model Evaluation and Analysis, Python 3, Tensorflow 2.0, Numpy, Image recognition, and classification, How to clean and prepare your data for analysis, How Hadoop, Apache Spark, Kafka, and Apache Flink are used, Regression analysis and many more topics are covered in this course.

Key Highlights

Learn Deep Learning, Transfer Learning and Neural Networks.

Implement Machine Learning algorithms and improve your Machine Learning Models.

Learn NumPy, Scikit, and Regression modelling.

Learn how to program in Python using the latest Python 3.

Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use.

Learn to process, clean, and analyze large data.

Learn How to create portfolio of Data Science and Machine Learning projects to apply for jobs in the industry with all code and notebooks provided.

Anyone with no experience who wants to learn Machine Learning, Data Science and Python, Deep Learning and Neural Networks project learner can take the course.No prior experience required and all tools used in this course are free for you to use.

Rating-4.6

Duration-42.5 Hours

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Data Science and Machine Learning using Python – A Bootcamp (Udemy)

The course is created by Dr. Junaid Qazi and rich experience in teaching & training and career advising. Python used in the course for exploratory data analysis and machine learning algorithms. Basis Python programming, NumPy, Pandas, Matplotlib, Seaborn, Plotly and Cufflinks, SciKit-Learn, Support Vector Machine, Liner Regression any many more topics are covered in the course.

Key Highlights

Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decision making.

NumPy for Numerical Data and Plotting with Matplotlib.

Learn dynamic visualizations, Logistic Regression and Linear Regression.

Develop skills in Python for Data Science and Machine Learning, Data Analysis, Statistical Plots, and SciKit-Learn.

Rating-4.7

Duration-25 Hours

Mode- Online with flexible timing.

Certificate- Yes ( Shareable)

Data Scientist Career path (codecademy)

Are you looking for a data scientist career path and want to develop all skills step by step requires for a data scientist. Then Codecademy can be a better choice. Codecademy have a data scientist career path program where you can learn step by step all required skills, tools, tips, and techniques with projects. The program will make you job-ready data scientist.

Key Highlights

Learn the fundamentals of Python, analyze data of real world business and make portfolio project.

Learn about acquiring data, data manipulation & analysis, data wrangling, and data visualization.

Understand foundation of machine learning and deep learning.

Develop SQL skill and prepare yourself for data scientist interviews.

Get in-depth knowledge of data science.

SQLPython 3NumPypandasmatplotlibscikit-learnand many more topics are covered in this program.Beginner/ Experienced who want to develop data analytic and data science skills can take the course.

Mode- Online with flexible timing.

Certificate- Yes

Bonus

Post Graduate Program in Data Science by Purdue University

Executive Data Science Specialization by Johns Hopkins University(Coursera)

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