9 Best Data Science Courses, Certifications (2022) (2023)

  • Data Science Specialization by Johns Hopkins University [Coursera]
  • The Data Science Course 2021: Complete Data Science Bootcamp [Udemy]
  • IBM Data Science Professional Certificate [Coursera]
  • Python for Data Science and Machine Learning Bootcamp [Udemy]
  • Applied Data Science with Python Specialization [Coursera]
  • Data Science MicroMasters Certification by UC SanDiego [edX]
  • MIT Data Science and Statistics Certificate [edX]
  • The Online Data Science Bootcamp [OdinSchool]

Are you interested in learning the third most popular technology? Then, You have come to the right place. Today, I will discuss the list of Best Data Science Courses and Certifications. It will give you a glimpse of how to become part of the trendiest field in the IT business.

As per the survey, Industries and companies require more than 5 million data scientists globally. During Pandemic, Companies have realized the need for data scientists more to uncover insights and business strategies. Take a look at the list and start your career in data science.

Table of Contents

  • 1 9 Best Data Science Courses, Certifications Classes, Tutorials
    • 1.1 Data Science Specialization by Johns Hopkins University [Coursera]
    • 1.2 The Data Science Course 2021: Complete Data Science Bootcamp [Udemy]
    • 1.3 IBM Data Science Professional Certificate [Coursera]
    • 1.4 Python for Data Science and Machine Learning Bootcamp [Udemy]
    • 1.5 Applied Data Science with Python Specialization [Coursera]
    • 1.7 Data Science MicroMasters Certification by UC SanDiego [edX]
    • 1.8 MIT Data Science and Statistics Certificate [edX]
    • 1.9 The Online Data Science Bootcamp [OdinSchool]
  • 2 FAQ
    • 2.1 What Qualifications do I need to study data science?
    • 2.2 Is Data Science Hard?
    • 2.3 Is data science a good career?

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9 Best Data Science Courses, Certifications Classes, Tutorials

Data Science Specialization by Johns Hopkins University [Coursera]

9 Best Data Science Courses, Certifications (2022) (1)

Launch your successful career with this Data Science Specialization. It will introduce the fundamentals of data science and the development of applications. It is designed to present you with a series of data questions and tools that data scientists use. You will also get the chance to learn R programming and use R for data analysis effectively. Get the complete guide to understand key aspects of Data Science.

Jeff Leek, Roger D. Peng, and Brian Caffo are the data science experts who prepared this Data Science Coursera Program to teach the cutting-edge technology of the IT world. It will help you in mastering the art of Data Science and apply them to building a data product using real-world data. Prepare a strong portfolio with this 10-course specialization from anywhere and anytime.

Key Highlights & USPs

  • A practical introduction to the data scientist’s toolbox.
  • Learn to install and configure software necessary for statistical computing and using R programming for data analysis.
  • Get a basic understanding of collecting data, cleaning data, and sharing the data. How to use exploratory techniques for summarizing the data.
  • Understand the statistical inference and use this information to make informed choices in analyzing the data.
  • Know how to perform regression analysis, least squares, and inference using regression models.
  • Create data products using R packages and interactive graphics.
  • Work on the capstone project to show the skills and solve real-world problems.

Who is it for?

Before enrolling, you should have Python programming knowledge and familiarity with regression for attending the Data Science Coursera Free. It is a self-paced learning option and provides you with a shareable certificate after successful completion. There’s no right time to enrol in this Free Data Science Course and to enhance your skill power.

Rating: 4.5/5
Students Enrolled: 445,149
Duration: 11 months, 7 hours/week

You canSign up Here

The Data Science Course 2021: Complete Data Science Bootcamp [Udemy]

Udemy brings you a step-by-step guide in the form of the Data Science Bootcamp. With this, you can upgrade your career to the next level. It provides you with digital, programming-oriented, and analytical training. You will learn data science in an effective manner. It focuses mainly on topics like big data, statistics, business analytics, machine learning, and Python programming.

365 Career Team, creator of this Data Science Udemy Course, offers a proper training process and lessons in order. You will get full technical support from experienced instructors. It greatly enhances your knowledge. In the end, you become capable of solving real-world business cases using high-tech.

Key Highlights & USPs

  • Able to perform linear and logistic regressions in Python
  • Create machine learning algorithms in Python libraries such as Numpy and Scikit-learn.
  • How to use deep learning frameworks such as Google’s Tensorflow for business.
  • Learn how to pre-process data using Python programming and analysis.
  • Write codes in Python and use it for statistical analysis.
  • Train to unfold the power of deep neural networks.
  • Unlimited access to 30 hours of video sessions, 90 articles, and 502 downloadable resources.

Who is it for?

It is one of the best data science courses online for beginners who want to start learning from scratch. Here, there’s no prior experience required for enrolling. You can go on a journey and turn it into a great career. Stop waiting for the perfect time and enroll now

Rating: 4.6/5
Students Enrolled: 438,987
Duration: 30 hours

You canSign up Here

IBM Data Science Professional Certificate [Coursera]

9 Best Data Science Courses, Certifications (2022) (2)

IBM has launched a Professional Data Science Certificate for students. You will learn the fundamentals of data science and machine learning with proper guidance. It will improve your data science, Python, and SQL Skills. You get a chance to create machine learning models and use them for analyzing & visualizing data. You will learn about the most popular tools such as Jupyter Notebooks, Juyterlab, Rstudio IDE, Git, Github, and Watson Studio

IBM instructors and experts from Coursera have prepared this IBM Data Science Course Coursera. It will provide you with the latest jobs and skills. You will start by learning the basic concepts of Data Science to advance topics.

Key Highlights & USPs

  • Get an overview of what data science is today?
  • Learn about the data science tools and programming skills for analyzing the data.
  • Build a solid understanding of data science methodology to tackle real-world problems.
  • Grasp all the Python basics for Data Science and Artificial Intelligence Development.
  • Understand how Databases and SQL are used for handling data and work along with Python programming.
  • Prepare you for data analysis using Python and explore types of data.
  • Develop hands-on skills using tools, languages, and Python libraries used by Professional data scientists.

Who is it for?

If you are passionate enough, this data science free online course with a certificate is the perfect choice for you. You don’t need to have prior knowledge of Computer Science or programming experience. It brings out your potential to have a competitive edge in the job market and get an entry-level position.

Rating: 4.6/5
Students Enrolled: 64,080
Duration: 11 months, 3 hours per week

You canSign up Here

Python for Data Science and Machine Learning Bootcamp [Udemy]

Udemy Data Science Python Course teaches you to use Python libraries such as Pandas, Seaborn, Numpy, Scikit-Learn, TensorFlow, and more. You will learn about the general-purpose programming language and its use in analyzing data, creating a visualization, and writing algorithms for machine learning. This Data Science Tutorial course covers all the topics to get a deep knowledge of how data science and machine learning use Python to solve the world’s problems.

Jose Portilla is the author and instructor who included each piece of information to enhance your knowledge. It is packed with hundreds of HD video lectures and detailed code notebooks for every lecture. This Comprehensive Data Science Course Online has both beginner and intermediate-level courses to learn how Data Science works.

Key Highlights & USPs

  • Learn to use Pandas for Data Analysis and Seaborn for statistical plots.
  • Develop an understanding of machine learning fundamentals such as logistic regression, neural networks, linear regressions, and so on.
  • Learn How to use Scikit-Learn for machine learning tasks.
  • Use Python’s libraries like Matplotlib and Seaborn for Data Visualization.
  • Create in-built interactive and dynamic visualization to visualize patterns in datasets.
  • Understand Natural Language Processing and Spam filters to work with machine learning models.
  • Get full lifetime access to 25 hours of on-demand video, 13 articles, and five downloadable resources.

Who is it for?

It is an intermediate-level Python Course that requires at least some programming experience. It is one of the Best Python for Data Science Courses to get a rewarding career in Data science and machine learning. You will earn a certificate of completion that can be shared and used to showcase your expertise.

Rating: 4.6/5
Students Enrolled: 475, 119
Duration: 25 hours

You canSign up Here

Applied Data Science with Python Specialization [Coursera]

9 Best Data Science Courses, Certifications (2022) (3)

This Data Science with Python Specialization introduces the learners to how to use data science using Python programming. It consists of five courses to teach you how to implement statistical, text analysis, information visualization, and social network analysis techniques. You will learn about popular Python toolkits such as Scikit-Learn, Panda, Matplotlib, and others to scrape data from sites and visualize them to get insights. The University of Michigan will take you from beginning to advanced chapters of Applied Data Science.

Christopher Brooks and other 3+ instructors created this Applied Data Science with Python Specialization students to gain deep knowledge and apply data science methods. You need to cover all five courses to become an expert.

Key Highlights & USPs

  • Learn Python programming techniques such as Lambdas, data manipulation, and cleaning data to get statistical analyses.
  • Know how to apply the plotting, charting, and data representation in Python.
  • Develop knowledge of how to improve data analysis strategies with applied machine learning methods.
  • How to handle text mining and text manipulation using the NLTK framework.
  • Understand how the Networkx library is used for social network analysis and explore the connectivity of networks.
  • Able to perform on hands-on projects after completing each course.

Who is it for?

The University of Michigan prepared this Data Science Python Course for professionals with experience in Python and data science. It is an intermediate-level course for business analysts, data scientists, business intelligence, and Python developers. You can also check the list of Best Python Courses and Tutorials before enrolling in this.

Machine Learning A-Z™: Hands-On Python & R In Data Science [Udemy]

Kickstart your career by learning Python and R programming for Data Science. This Best Data Science Course Online will teach you machine learning and data science concepts step-by-step. You can learn complex theory, algorithms, and coding libraries in an effective manner. It is packed with practical exercises to apply Python and R programming.

Hadelin de and Kirill Eremenko designed this Machine learning and Data Science Course. It will reduce the gap for students to participate in the world of data science. It improves your practical knowledge by providing hands-on projects.

Key Highlights & USPs

  • Learn to make accurate predictions using machine learning and R programming.
  • Able to build an army of machine learning models and combine them for solving problems.
  • How to handle advanced techniques like dimensionality Reduction.
  • Cover specific topics like reinforcement Learning, NLP, and Deep Learning.
  • Make powerful data analysis using Python and R Programming.
  • Get lifetime access to 44 hours of on-demand video, 73 articles, and 38 downloadable resources.

Who is it for?

Any person is eligible for this Data Science Course Syllabus If one is eager to learn machine learning. You can take it without having any prior experience in coding or machine learning. Having knowledge of R or Python for Data Science would be beneficial. Not familiar with R, you can check the list of Best R for Data Science Courses

Rating: 4.5/5
Students Enrolled: 818,760
Duration: 45 hours

You canSign up Here

Data Science MicroMasters Certification by UC SanDiego [edX]

This Micromasters program in Data Science will help students to excel in data science. You will understand how to get data insights from information, manipulate data sets, and visualize them to find a pattern. It is prepared to develop a foundational knowledge of mathematical and computational. That further will get used for data-driven business recommendations.

The instructor from UC San Diego will introduce this Data Science Certification. They are committed to teaching you all the courses, including Python, mathematical techniques, machine learning fundamentals, and data analysis.

Key Highlights & USPs

  • How to load and clean for analyzing real-world data.
  • Make reliable statistical inferences from noisy data.
  • How to use machine learning to build models for data analysis.
  • Learn about data visualization and use it for finding valuable insights from complex data.
  • How to use Apache Spark to analyze data that can’t fit in the memory of a computer.
  • Free full lifetime to video lectures, downloadable resources, and study material.

Who is it for?

It is one of the top-rated data science online programs for professionals or beginners to pursue data science. You get the chance to build your career and meet the top instructor from the University of California. In the end, you will earn a Micromaster program Certificate from EDX to verify your skill acquired here.

Rating: 4.5/5
Students Enrolled:

Duration: 10 months, 11 hours/week

You canSign up Here

MIT Data Science and Statistics Certificate [edX]

This Data Science Certification Online Course introduces you to the most demanding cutting-edge technologies like machine learning, data analysis, and data science. You will solve complex challenges and drive data to make better decisions. It comprises four online courses related to data science and statistics. You will build essential knowledge of methods and tools used in data science.

This MIT Data Science and Statistics Certificate is taught by instructors with years of experience in computer science. They will give you sophisticated and rigorous training in data science. You will be able to get a job with no compromise in the quality of education you’ve acquired.

Key Highlights & USPs

  • Master the data science skills, statistical methods, and machine learning algorithms.
  • How to analyze data for making data-driven predictions using probabilistic modeling and statistical inference.
  • Build machine learning algorithms to extract meaningful information.
  • Learn about unsupervised and supervised learning methods.
  • In the end, get the chance to check what you’ve learned by completing assignments and passing exams.

Who is it for?

You should be familiar with college-level calculus and comfortable with Python programming to excel in this best data science certification online. This Micromaster program brings a high-quality curriculum and hands-on approach for learners from worldwide. You will receive the program certificate after completing four required courses and passing a virtually- proctored exam. You can go for an advanced degree after becoming a verified data scientist

Rating: 4.4/5
Students Enrolled:
Duration: 1 year and 2 months, 14 hours/ week

You canSign up Here

The Online Data Science Bootcamp [OdinSchool]

OdinSchool’s 6-month, project-based, hands-on Data Science Bootcamp is for anyone who wants to establish themselves in the field of Data Science. The outcome of the Bootcamp is a Data Science job; the company partners with over 250 organizations to place their graduates. This advanced Bootcamp comes with weekly live interactive sessions with instructors and thought leaders.

The classes are flexible so even working professionals can fit their commitments around the Bootcamp’s learning schedules. OdinSchool has a proven track record of placing both freshers and working professionals at top companies and helping professionals from non-technical backgrounds switch to Data Science.

Key Highlights & USPs

  • Weekly live interactive classes
  • Dynamic industry-vetted curriculum
  • Personalized mentorship with instructors and industry experts
  • Engagement in 7 Portfolio-worthy Data Science projects
  • 360° Placement Assistance
  • Unlimited interview opportunities
  • Partnership with 250+ companies for hiring
  • Money-back guarantee (if you find the Bootcamp unsatisfactory within the first 10 days)

Who is it for?

This online Data Science Bootcamp course is ideal for both freshers and working professionals. As the curriculum starts from scratch, it is also suitable for Data Science aspirants who do not have prior technical experience.

Rating: 4.7/5
Duration: 6 months live classes | 500+ hours

Hopefully, this article helped you with the information and answered your doubts. The compiled list might provide you with the most suitable course that fulfils the career requirements. It’s never too late to switch your career. If you want to learn about machine learning, artificial intelligence, or data analysis, check out published articles on GeekTonight.


What Qualifications do I need to study data science?

Data Scientists are analytical people who are skilled in analyzing and handling data. For that, any person needs to have at least a bachelor’s degree in computer science. Here, there is no need to have coding experience. Although, most data science courses will require a master’s degree. However, this comprehensive list is for everyone with no prerequisites.

Is Data Science Hard?

Due to technical requirements for data science jobs, it is more challenging to learn data science in one go. As a data scientist, you should know languages like Python, R and SQL, and applications to handle data. It takes a lot of time to get a firm grasp of the methods and tools of data science. There is one of the reasons behind the shortage of data science professionals. That’s why they are in huge demand.

Is data science a good career?

Data Science has become the most promising career with high job growth and pay scale. There’s 50% growth in data analytics and data science job openings. After the Pandemic, Organizations have switched to data science for data-driven decision making.


Which certification is best for data science? ›

  • Data Science Certification (SAS) ...
  • Data Science Professional Certificate (IBM) ...
  • From Data to Insights With Google Cloud Specialization (Google) ...
  • Azure Data Scientist Associate (Microsoft) ...
  • CDP Generalist Certification (Cloudera) ...
  • Principal Data Scientist (DASCA) ...
  • TensorFlow Development Certificate (TensorFlow)
15 Sept 2022

Is it worth learning data science in 2022? ›

Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.

How can I become a successful Data Scientist in 2022? ›

How to Become a Data Scientist in 2022: Four Essential Steps
  1. Understand what a data scientist does.
  2. Develop the traits and habits of a good data scientist.
  3. Learn the essential languages and software skills.
  4. Choose your educational pathway.

How can I learn data science in 2022? ›

How to Become a Data Scientist?
  1. Read up and understand the field well before diving in.
  2. Slowly developed and hone the right data science skills.
  3. Learn the fundamentals first.
  4. Practice key programming languages.
  5. Gather, understand, and visualize data using small case studies available on the internet.
26 Jul 2022

Which field is highest paid in data science? ›

Top 10 Highest Paying Data Science Jobs in India [A Complete...
  • Machine Learning Engineer.
  • Machine Learning Scientist.
  • Applications Architect.
  • Data Architect.
  • Enterprise Architect.
  • Infrastructure Architect. Top Data Science Skills to Learn in 2022.
  • Statistician.
  • Business Intelligence Analyst.
22 Sept 2022

Are certificates worth it data science? ›

The short answer is yes. As is demonstrated by the stories of our certified learners, becoming a certified data scientist gives you: An advantage over other candidates. Proof of your data science skills, whether you're transitioning from another profession or completely new to data science.

Is data science still hot in 2022? ›

LinkedIn reported some of these jobs as being more popular than data scientists in its “Jobs on the Rise” reports for 2021 and 2022 for the U.S. Part of the proliferation is due to the fact that no single job incumbent can possess all the skills needed to successfully deploy a complex AI or analytics system.

Is 40 too old to become a data scientist? ›

So despite industry ageism, a recent study by Zippia showed that the average age of data analysts in the U.S. is 43 years old. This takes us back to our titular question: are you too old to start a new career in data analytics? The short answer, in our opinion, is no.

Can I learn data science in 2 months? ›

Honestly saying in 2 months you can only understand WHAT is data science and HOW it is applied in industries to generate data-driven insights. To roughly understand Data Science you need at least 6 to 8 months and to become a Data Scientist you need 1 more month to build your resume and hunt for the job.

Is 35 too old to become a data scientist? ›

It's never too late to become a data scientist - as long as you've got the right skills and determination, you can become a data scientist at any age. Assuming you have the skillset, there isn't an age limit - even if you're starting from scratch with a degree.

Can I become data scientist in 4 months? ›

Altogether, the amount of learning that is required to become a data scientist cannot be done in a mere time period of six months.

Will data science exist in 10 years? ›

In 10 years, data scientists will have entirely different sets of skills and tools, but their function will remain the same: to serve as confident and competent technology guides that can make sense of complex data to solve business problems.

Which data science course is best for future? ›

1. Data Scientist Nanodegree Program (Udacity) If you're looking to become a data scientist, then look no further than Udacity's Data Scientist Nanodegree Program. With this certificate, you'll learn how to use Python for data science projects – so you can build functioning machine learning models and pipelines.

Can I become a data scientist in 6 months? ›

Becoming a data scientist in six months is possible if you have a strong background in mathematics and coding. If you are one such candidate, follow the steps below: Download simple datasets and perform Exploratory Data Analysis on them.

Are data science jobs in demand 2022? ›

Job Outlook

Employment of data scientists is projected to grow 36 percent from 2021 to 2031, much faster than the average for all occupations. About 13,500 openings for data scientists are projected each year, on average, over the decade.

Which company is best for data science? ›

Best Companies to Work for as a Data Scientist: Large Companies
  • Microsoft. Microsoft has a lot of cool data-science focused projects and products. ...
  • Amazon. ...
  • Airbnb. ...
  • NVidia. ...
  • Oracle. ...
  • Delta. ...
  • Splunk. ...
  • Cloudera.
1 Nov 2022

Which country is best for data science? ›

Best countries to study data science
  • Data Science in USA.
  • Data Science in UK.
  • Data Science in Germany.
  • Data Science in France.
  • Data Science in Cyprus.
  • Data Science in Canada.
  • Data Science in Sweden.
  • Data Science in Australia.

Who earns more MBA or data scientist? ›

The recent placement data from Symbiosis Pune reflects that a postgraduate program in Data Science when compared to a general MBA degree has better placement opportunities in terms of average salary and highest package offered.

Is IBM certificate on Coursera worth it? ›

Besides learning the theory of data analytics, students will learn how to perform data analysis with Python and SQL. More than 100K students have already enrolled for the course and it's one of the best Coursera certificates worth pursuing.

Which certification is best for Python? ›

Python certifications explained
  • PCEP – Certified Entry-Level Python Programmer. ...
  • PCAP – Certified Associate in Python Programming. ...
  • PCPP-32-1 – Certified Professional in Python Programming 1. ...
  • PCPP-32-2 – Certified Professional in Python Programming 2. ...
  • CEPP – Certified Expert in Python Programming.

Can I get a job with a certification in data science? ›

The simple answer is 'yes,' but to expand on that, it depends on what your level of expertise is,” Weaver said. “If you find yourself more interested in the data analytics part of things, you might want to go back and get a certification in data science, that can augment the knowledge that you already have.”

Why so many data scientists are leaving? ›

Reason #1: Mismatch in Employer Expectations

You spend thousands of hours learning statistics and the nuances of different machine learning algorithms. Then, you apply to dozens of different data science job listings, go through extensive interview processes, and finally get hired by a mid-sized organization.

Is data scientist a stressful job? ›

Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.

Is data scientist an IT job? ›

A Data Scientist job is most definitely an IT-enabled job. Every IT professional is a domain expert responsible for handling a particular technical aspect of their organization.

Can a non coder learn data science? ›

You don't require programming skills to use Data Science and Machine Learning Tools. This is especially advantageous to Non-It professionals who don't have experience with programming in Python, R, etc. They provide a very interactive GUI which is very easy to use and learn.

Can I be a data scientist at 50? ›

You can become a data scientist at any age if you're willing to put in the work.

How fast can I learn data science? ›

Because data science is such a broad field, the time you take to learn it truly depends on factors like your current skill set and how you intend to use the knowledge you gain—estimates for mastering data science range from six months to several years.

What is the fastest way to become a data scientist? ›

How to become a data scientist
  1. Earn a data science degree. Employers generally like to see some academic credentials to ensure you have the know-how to tackle a data science job, though it's not always required. ...
  2. Sharpen relevant skills. ...
  3. Get an entry-level data analytics job. ...
  4. Prepare for data science interviews.
14 Nov 2022

How many hours should I study for data science? ›

On average, to a person with no prior coding experience and/or mathematical background, it takes from 7 to 12 months of intensive studies to become an entry-level data scientist. It is important to keep in mind that learning only the theoretical basis of data science may not make you a real data scientist.

Can I self study data science? ›

You Don't Need a Degree to Be a Data Scientist

And if you can find a mentor or community who can help guide and support your learning then that's even better! But don't be afraid to start learning on your own either because there's plenty of resources out there.

What is the lowest salary of data scientist? ›

Data Scientist salary in India with less than 1 year of experience to 8 years ranges from ₹ 4.2 Lakhs to ₹ 25.5 Lakhs with an average annual salary of ₹ 10.1 Lakhs based on 21.9k salaries.

Who is the youngest data scientist? ›

Born and brought up in the UAE, Veer started learning coding at 8. Clevered provided him with an online internship at the University of Oxford. At the age of 11, he developed a passion to innovate and solve real-world problems. The Junior Data Scientist program was initially assigned for 14+ years.

Is data scientist a lonely job? ›

You don't like to work for long periods of time alone

Data science can require extended periods of concentration. This work is best done alone and with minimal interruption. If you are a highly social person and desire constant interaction, a data science career might be too isolating.

Is data scientist high paying job? ›

One of the highest-paying careers in data science. Data Scientists earn an average of Rs. 116,100 a year, according to Glassdoor. As a result, Data Science is a very lucrative career choice.

Can I get data scientist job easily? ›

Getting a job as a data scientist isn't easy and you would need to be very persistent to be successful in this field. One does not become a data scientist overnight. It takes a lot of learning, experience, and understanding of the concepts, especially if you are looking to start a career in data science as a fresher.

Who gets paid more data scientist or data analyst? ›

As per Glassdoor, the average salary of a data analyst in India is 6 Lac rupees per annum. In India, the average salary of a Data Scientist is 9 Lac rupees per annum.

Is it too late for data science? ›

You are not late to learn data science. It is not an easy task to learn data science and find your first job. It takes time, effort, and dedication. You may have to spend months to obtain the basic skills.

Will data scientist be replaced by AI? ›

As A.I. automates lower-level data processing, Data Engineers will need to migrate toward data science. Even among Data Scientists, only the youngest has been trained in the more advanced deep learning approaches. As technology advances, Data Scientists' skillset will be rendered useless in 12 to 18 months.

Do data scientists work 9 5? ›

The fact is, the majority of data scientists and data analysts work 40-hour weeks, and have plenty of time outside the office for hobbies, relaxing, or a Kaggle competition if they're so inclined. In fact, a data scientist is a top-rated job for work-life balance, according to Glassdoor.

Is Python enough for data science? ›

Python is a high-level, general-purpose programming language known for its intuitive syntax that mimics natural language. You can use Python code for a wide variety of tasks, but three popular applications include: Data science and data analysis. Web application development.

Which has better future AI or data science? ›

The data science market is expected to reach USD 178 billion by 2025, while artificial intelligence (AI) is predicted to grow at a compound annual growth rate of 13.7% and is anticipated to grow by USD 202.57 billion by 2026.

How do I become a 10x data scientist? ›

A 10x data scientist is literally 10 times more productive than the average data scientist.
As a process, deliberate practice involves repeating these steps:
  1. Deconstruct your target skills. ...
  2. Set stretch goals in alignment with the gaps you want to fill. ...
  3. Perform with focus. ...
  4. Analyze performance. ...
  5. Adjust. ...
  6. Repeat.
18 Jun 2020

Is 1 year enough for data science? ›

People from various backgrounds especially with zero coding experiences have proven to become good data scientists in just one year by learning to code smartly.

Which language is necessary for data science? ›

Python is the most widely used data science programming language in the world today. It is an open-source, easy-to-use language that has been around since the year 1991. This general-purpose and dynamic language is inherently object-oriented.

Should I learn data science in 2022? ›

Even in 2022, data science is without a doubt one of the sexiest tech fields to get into, with six-figure salaries, low unemployment rates, and the ability to work from anywhere in the world.

Is data science worth in 2022? ›

According to Glassdoor, the average pay of a data scientist is Rs 10,00,000/year in 2022, with the highest being Rs 22 lakhs per annum. Data science is high in demand, but there is a shortage of supply in this field. This means that there are vacancies all around the world waiting to be filled.

Is data science still a good career 2022? ›

So, if you are still wondering if data science is a good career choice in 2022 and beyond, the answer is a resounding YES.

Is there a shortage of data scientists 2022? ›

The shortage of available data scientists is just as real as any other supply chain challenge. It's a simple issue of supply and demand. Supply is sparse because of the relative newness of the career itself.

Will data science be in demand in next 5 years? ›

Studies estimate that the Data Science industry will grow by at least 2x over the next five years. The growth will further be accelerated by certain changes that will impact the career fundamentals for data scientists. The biggest change that will happen in the Data Science industry is the roles.

Is data science jobs declining? ›

As long as a data scientist is able to solve problems with the help of data and bridge the gap between technical and business skills, the role will continue to persist.

Why people quit data science? ›

Professionals who land such roles become unsatisfied in their positions leading to high resignation rates. When employers gloss over data scientist positions to make them captivating for top talent, these employees eventually become unhappy and leave the company for better opportunities.

Is Python the future of data science? ›

Many in the data science field have long predicted that Python will become the most popular language for Data Scientists and Data Engineers. The use of Python for data science applications has been gaining steam in recent years.

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Name: Sen. Ignacio Ratke

Birthday: 1999-05-27

Address: Apt. 171 8116 Bailey Via, Roberthaven, GA 58289

Phone: +2585395768220

Job: Lead Liaison

Hobby: Lockpicking, LARPing, Lego building, Lapidary, Macrame, Book restoration, Bodybuilding

Introduction: My name is Sen. Ignacio Ratke, I am a adventurous, zealous, outstanding, agreeable, precious, excited, gifted person who loves writing and wants to share my knowledge and understanding with you.