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Data Science Course – Kickstart Your Career in Data Science Now!


Do you know the best way to improve the world?

We may not say that this is the only way one can improve the world, but this one undeniably plays a crucial role. It's DATA!

Your Facebook details, bank transactions, online shopping patterns, medical bills, and everything is a kind of data. All this unstructured data is the backbone of every organization. This data is being utilized, sorted to derive meaningful insights to help provide the best user experience, make informed decisions for future growth, take strategic calls, and much more.

The power of DATA is unimaginable and, when worked on effectively, may lead to revolutionary changes. The skill and art of visualizing data to get ideas that may transform businesses is Data Science, and this article is the right platform to explore how to become a data analyst with no experience. Let’s begin the exciting journey of getting into data science!

What Is Data Science?

DATA Scientist.

Before we tell you about how to get into data science, a quick description about Data science to make you understand what you are aiming for.

Data science involves using statistical methods, mathematics, programming, and computing to interpret numbers and findings from unstructured data. Coding languages like R and Python provide the ability to run codes to achieve the best results. 
Companies are heavily dependent on data science to understand users' pain points, position their brand, analyze gaps and figure out business opportunities. All this is being done by the masterminds known as "DATA Scientist."

What Does A Data Scientist Do?

Data scientists are the ones who interpret the data to help organizations shape up their future course of action. They are the key players in any company and play a very strategic role. Getting a job as a data scientist will make your  day-to-day activities look like:

  • Develop algorithms and data models to drive results.
  • Deploy Python, SAS, SQL, R, and such data tools for analysis. 
  • Use machine learning techniques to improve the quality of data or product offerings.
  • identifying the data-analytics problems that offer the most significant opportunities to the organization.
  • Determining the correct data sets and variables.
  • Collecting large sets of structured and unstructured data from disparate sources.
  • Cleaning and validating the data to ensure accuracy, completeness, and uniformity.
  • Devising and applying models and algorithms to mine the stores of big data.
  • Data analysis to figure out trends and make informed decisions. 
  • Interpretation of data to explore market opportunities.
  • Building reports to be presented to stakeholders by using data visualization tools. 

Lets’ make your journey about how to get a data science job more exciting by sharing some amazing numbers about data scientist paychecks.

Data Scientist Salary and Growth Prospects

We have got you some facts available on, about data scientist salary. The numbers showcase the average salary for a data scientist in the U.S. is approximately $122,338 per year. However, the pay can vary based on location, experience, skill level, industry, and employer.

If we go by Glassdoor data, a data scientist earns an average salary of $113,396 in the United States as of March 2021. 

Below is the approx average pay (annual) for data scientists in some of the top companies. 

Every organization today is heavily dependent on data for its decision-making process. Thereby you should rest assured that the demand for certified data scientists is never going down. 

Some of the largest companies are data science-fueled enterprises. For example, take a look at Google, Amazon, and Facebook. Each uses data science to create algorithms that improve customer satisfaction and maximize profits.

  • Google: Uses data to rank web pages in the most appropriate way that answers the user's query.
  • Amazon: Recommendation of products based on consumer's past behaviour and interests.
  • Facebook: Target ads as per user's preferences.

Before we answer how to get a job as a data scientist, we have got you information about some of the most popular Data Science Courses, you should check out and the top companies that are looking for data scientists.

Also read: Data science salary – How much a Data Scientist earn?

Popular Data Science Courses

Data science is a promising career path. If you aspire to make a successful career in data science, there cannot be a better time than now to begin. Being an evolving field, Data Science needs you to stay on top of trends to continue your growth. 

One of the effective ways to polish your existing skills and gain new ones is to take an online data science course taught by experts on different platforms. Check the popular data science courses, whether you are just starting out in the field and want to learn the fundamentals of Data Science or you are an experienced professional and looking to enhance your skills. 

1. Google Data Analytics Professional Certificate

Looking for a professional data science course for beginners? Designed by Google, this unique Google Data Analytics Professional Certificate course is amazing, it prepares you for a new career in the high-growing field of data analytics. 

It is an eight-course certification program that prepares you to begin your career in Data Science and get an entry-level job. Under this training, you are taught by the Google employees whose foundations in data analytics served as launchpads for their own careers. You will learn all the in-demand skills that will have you job-ready. Invest 10 hours per week and you can finish this training course within 6 months.

Google Data Analytics Professional Certificate - Data Science Course Details



Course Name 

Google Data Analytics Professional Certificate

Application Criteria 

No degree or prior experience required

Course Cost

It costs USD$117


Beginner Level




6 months (approx.) 

Topics Covered 

Data cleaning, problem solving, critical thinking, data ethics, and data visualization


2. IBM Data Science Professional Certificate

The IBM Data Science Professional Certificate is another option you can go for when looking for a data science course. This unique training program consists of nine courses including data science fundamentals, open source tools & techniques, data science techniques, Python, Databases and SQL, data analysis, data visualization, machine learning, and an applied data science capstone. 

You can take this data science course online and finish it as per your convenience in your flexible schedule. It typically takes an average of three months to complete, but you are free to take more or less time. Apart from the theory knowledge, the course also contains hands-on projects to help you create a portfolio to showcase your data science skills to potential employers.

IBM Data Science Professional Certificate – Data Science Course Details



Course Name 

IBM Data Science Professional Certificate

Application Criteria 

No degree or prior experience required

Course Cost



Beginner Level




3 months (approx.) 

Topics Covered 

Data science, open-source tools, data science methodology, Python, Databases and SQL, data analysis

3. SAS Certified Data Scientist

The combination of two other data certifications offered through SAS, the SAS Certified Data Scientist certification is a popular data science training. This training program includes different programming skills, managing and enhancing data, transforming, accessing, and manipulating data, and working with different effective data visualization tools. 

Post completion of a certification course in programming and SAS or essential data science tools may opt for a SAS certification to improve upon your market value. This certification has no expiry. In other words, before you qualify to earn your SAS Certified Data Scientist designation, you need to qualify for the Big Data Professional and Advanced Analytics Professional certifications. First, finish all the 18 courses and pass the five exams between the two separate certifications to complete this certification. 

SAS Certified Data Scientist Certificate - Data Science Course Details



Course Name 

SAS Certified Data Scientist

Application Criteria 

No degree or prior experience required

Course Cost

$180 per exam


Advance Level




12 months (approx.) 

Topics Covered 

Programming skills and data managing, processing, and visualization techniques needed to work with databases

Check these Data Science Certifications  in this Data science certification guide.

Other Top Data Science Courses for Specific Skills

Mention relevant certifications, some of the best certifications are:

1. Master in Data Science

Get practical learnings from basic to advanced Data Science methods with R & Python, machine learning, AI, deep learning, Big Data Hadoop, and Tableau Data Visualization through a master’s certification course in Data Science.

2. Python development masters 

The Python Training Program would help you gain practical learnings around Python installation to Python program execution to Python class and objects to know how Python works with Machine Learning & Data Analytics.

3. Tableau BI masters course 

Our Tableau certification training program is designed to help you advance your career in Data Mining, Data Mapping, Data Connections, Statistics use, Building Visualizations, Organizing Data, and Designing Dashboards to facilitate more meaningful business decisions.

4. Artificial Intelligence Masters 

Get your AI career started with our Artificial Intelligence training program and gain practical learnings around Deep Learning and Machine Learning and the clean-coded & effective programming languages.

5. Deep Learning Course 

Learn about deep learning models, neural networks with the tensor flow, Deep learning with Keras.

6. Certified Analytics Professional (CAP)

Post getting a certification in data science, you may apply for advanced certifications to gain expertise in big data. You must pass the Associate Certified Analytics Professional exam to get a CAP certification. The validity of this certification is three years.

7. Microsoft Certified Azure Data Scientist Associate

Through a certification in Azure, you will gain essential skills like the use of machine learning to deploy and evaluate business models, learn AI, predictive analytics, AI solutions, much more required to enter the field of data science.

These are some of the courses in Data Science. If you are still not sure about the significance of going for a data science certification, check the next section for top reasons to go for a data science training. 

4 Reasons to Go for a Data Science Course

As per the recent research by TDWI, ”46% of organizations cite inadequate staffing or skills for Big Data analytics”.

A thorough Data Science course will get you in the process to fill this talent gap, and also accelerates your career. Besides, these certifications come up with numerous benefits. Are you curious to know what they are? Let’s go through every point one by one: 

1) Provide Credibility to the candidate: In today’s world of falsity and duplicity, companies seek sources of authentication and legitimacy from different ways. Here, having data science training is a good way to meet their search.

 Also, when a company considers hiring a data scientist to hire, the first preference always goes to the candidate with professional certification. If you can show a professional certification course from a reputed institute, it works as an indication of good skills, hands-on experience, and a qualification.

2) Make Eligible for different domains: When you finish a data science training successfully, you earn a certification in this particular field that will make you eligible for jobs throughout all these industries in multiple positions  including Solution Architect, Business Intelligence Professional, Data Scientist, Project Manager, and Statistician.

3) Teach you the essentials required for the job:  A professional Data Science course provides you with all the practical knowledge and skills required to take care of the job responsibilities and perform the tasks involved in a Data Science position. In addition, the course curriculum helps you eliminate an unnecessary piece of information.

4) Help you get a high-paying Job: Obtaining a Data Science training will help to get the most lucrative and attractive job roles. In a popular study conducted by Amazon, 92 percent of employers responded that the certification played a major role in the screening process that the candidates were put through. Earning a data science training certification sets  you apart from the crowd and provides you the distinction of having put in effort, time, and energy and of having gained hands-on experience and acquired skills by finishing the training. 

These are major benefits you can enjoy when you go for a data science course and certification training. It plays a major role in ensuring a bright future in this particular career field

How to Choose the Right Data Science Course?

Now, you are clear about the benefits of obtaining a data science course, below we have described how to choose your data science training in the quest to upskill yourself and take up further education in data science and analytics. 

  • Be clear with your choice 

Being a data scientist is not enough. Decide what kind of career you want? What do you want to become– a practitioner, freelancer or consultant? You can also stay in your current position as an employee and apply your skills in your current role. There are numerous opportunities; first, be clear on which path you want to take so you can begin a successful journey for further studies and evolve through time.

  • Get an honest assessment for your skills & knowledge

The initial step of learning is knowing what you know and what you don’t know. You should be determined to learn new skills. Being honest about what you know will help you uncover your current status and focus on what you need to work on. It helps you choose the first data science course and then build on that or you can either jump straight to deeply technical training get a high-level and more conceptual perspective. 

  • Plan out your budget 

Budget plays a key role here. If you are not very serious and just want to learn new skills to apply in whatever you are doing, go for a free data science course. There are tons of free online tutorials on YouTube from basic to advanced levels. But if you are looking to invest in a proper education to begin your career, go for highly-recommended data science training courses offered by reputed institutions.  

  • Consider the time you have to put in

At the last step, consider the time and effort you are willing to put in upskilling yourself with a data science course. If you are currently employed or running your own business, go for online courses that you can do after-work and weekend schedules. But if you are a fresher and looking to make a career in this field, opt to take a full-time course.  

These are a few tips you should consider while looking for a data science course. In the next section, we will check the top brands looking to hire professionals in the data science segment.

Top Companies Hiring Data Scientist

Given the enormous volumes of data generated by digital services, it's no surprise that tech industry leaders have the greatest need for data scientists. Here are top companies hiring data scientists consistently: 

Apple. As per data on Linkedin, data scientist jobs in Apple are 1000+ in the United States. Apple has much of a dependence on data to drive the best of user experience, take decisions regarding new launches and market segmentation. 

Amazon. Encouraging numbers on Linkedin, there are almost 17000+ jobs available for data scientists in Amazon. No wonder Amazon eCommerce is sky-rocketing because of data-driven decisions. 

Facebook. 5000+ jobs in the United States are available on Linkedin for data scientists on Facebook. Every bit of information on Facebook is data for them and plays a critical role in defining the user experience.

Microsoft. 16000+ jobs are available on Linkedin for data scientists in the United States at Microsoft. You need to master Azure and other tools to apply for a relevant position. 

Google. Linkedin has 11000+ jobs for data science roles at Google. To be eligible to apply for such roles you need to have some of the best data science certifications and skill-sets in hand. 

Moving ahead we have mentioned the most effective and easiest way on how to get a data science job with no experience. 

How To Become A Data Analyst Without any Experience?

Data Scientist

To answer how to start a career in data science, becoming a data scientist does not happen overnight. It requires some real, meaningful skill-sets, through knowledge of programming languages and quite a lot of commitment. Here is the best path that will answer how to get started in data science:

#1. Enroll For A Certification Course

Certifications are a mark of your credibility and knowledge. Companies look for professional certification courses on your resume while hiring for a demanding job role as a data scientist. After completing your college degree, take some time and understand your current competency and where you want to excel.

Get knowledge about data science and enroll for the best data scientist certification course, which gives a deeper understanding of artificial intelligence, python development, machine learning, deep learning, Tableau BI, and data science with R. You will be part of a curriculum that is most in-demand and will get real-world expertise. Hope this answers how to get into data science!

#2. Work On Your Skill-sets

Through the online certification course, you will have skill-sets that recruiters desire in your resume. Mention the major ones that answer how to get a job in data science are:

  • Learn programming languages SQL, R, Python, SAS, Hadoop, Tensor Flow, which are extremely important in data analysis.
  • Learn mathematics and statistical analysis to master the science of collecting, analyzing, and interpreting data to derive meaningful results.
  • Master basics of machine learning wherein you need to know about data manipulation and cleaning, forecasting methods, data analysis using machine learning, python core objects, and many such functionalities.
  • Understand deep learning for better processing of both unlabeled and unstructured data. It would help if you learned convolutional neural networks, TensorBoard, deep learning models, RNN models, Models in Keras. This answers how to become a data scientist with no experience.
  • Sound knowledge of Big Data tools such as Hadoop, Apache Spark, Talend, and Tableau, to structure and drive results out of large complex data. 
  • Develop the ability to visualize results. Data visualization integrating different data sets and creating a visual display of the results using diagrams, charts, and graphs
  • Hard skills - Mathematics, statistics, data visualization, programming, machine learning, probability. 

Along with technical skills work on your soft skills as well like Collaboration, problem-solving, achieving learning, interpersonal skills, and critical thinking essential to kick start your career as a data scientist. This answers how to become a data analyst with no experience!

#3. Look For An Internship Or Entry-Level Job

While you enroll for a certification course, you get tremendous industry exposure as a lot of industry experts impart the course content. Try networking to understand the way to apply for an internship. 

Also, check out company pages like to apply directly for a relevant position. 

There are multiple internship opportunities available on job portals like Linkedin that will help you get into data science

The Eligibility Criteria to Apply Requires:

  • Working knowledge of  R/SAS/Matlab and SQL
  • Problem-solving ability and passion for big data
  • Excellent communication and data presentation skills
  • Degree in computer science or mathematics, or statistics
  • Project experience in Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe, and PyTorch
  • Certification in data science.

Here are Some Internship Opportunities Currently Available

Cisco -

Amazon -

This is a good approach that answers how to get a data science job!

#4. Work On Building A Network

Developing connections on professional platforms like LinkedIn, Quora, Reddit is an advantage. Begin by creating a profile that highlights your certification, achievements, and specialization. 

Share content about your area of interest in data science, look for advice from experts, ask questions, engage in conversations on Reddit. This will help make a space for yourself and position yourself as a keen observer in the field of data science.

#5. Identify The Role For Yourself

The field of data science is vast and comes with various lucrative job roles. Learning about these job roles will help you understand what your areas of interest are and work upon them accordingly. This will help you answer how to become a data analyst with no experience.

Top Data Sciences Profiles 


Data Engineer

Average salary: $137,776

Large, complicated data sets are assembled by data engineers. They develop, create, and implement changes to internal processes, as well as the infrastructure needed for optimal data extraction, transformation, and loading. They also create analytics software that makes use of the data flow.

Data Architect

Average salary: $112,764

Data architects research and build database solutions based on the structural needs for new software and applications. They set up and configure information systems, as well as migrate data from old to new ones.

Data Analyst

Average salary: $65,470

Data analysts maintain databases and collect data from primary and secondary sources. They analyze the data, use statistical tools to assess the outcomes, and create data gathering systems and other solutions to assist management in prioritizing business and information needs.

Business Analyst

Average salary: $70,170

By eliciting and organizing requirements, business analysts support an organization in planning and monitoring. They create useful, actionable, and repeatable information to assess resource requirements and establish cost-estimate models.

Data Administrator

Average salary: $54,364

Data administrators help with database design and database updates. They're also in charge of putting up and testing new database and data handling systems, maintaining database security and integrity.

#6. Make a perfect resume

Your journey about how to get a job in data science cannot begin without a well-articulated resume.

No matter how well-read you are, recruiters will not notice your resume if it does not speak about your accomplishments. 

Here are some tips to make a perfect data scientist resume:

  • Understand the job role you are applying for and craft your resume accordingly
  • Try to make a one-page resume
  • Talk about your industry exposure, internship, projects, and res
  • Mention skills like Collaboration, CRM, Database Management, Data Visualization.
  • Sell yourself" by prioritizing the most important credentials.
  • Use a simple and clean template
  • Include concrete metrics
  • Highlight past projects and your job role.
  • Mention the data science and machine learning projects you worked upon. Describe the project clearly and concisely highlighting your value addition.

#7. Prepare For The Interview

To answer how to become a data analyst with no experience, preparing well for the interview is of key importance. Since the job role is so demanding, recruiters look for the best candidate. 

Here are some Tips to Prepare for Your  Data Scientist Interview:

  • As per the job description, determine the topic you want to focus on. For example, if coding is of crucial importance, prepare well on Python, R and others. 
  • If you have applied for a core data scientist role, especially in research you need to practice the fundamental modeling concepts such as clustering, and regression.
  • Practice A/B testing since it's one of the most common analyses you need to do as a data scientist. 
  • Almost every company relies on Google Cloud Platform, Azure, or other cloud platforms, having sound knowledge is a bonus point. 
  • Practice data visualization tools like  Tableau, Looker, Microsoft Power BI, and many such tools.
  • Learn more about the top data science interview question here Data Science Interview Questions Answers

These 7 winning ways will definitely put you in the driver's seat and kick start your career as a Data Scientist. 

Here is a complete Data Science Career Path – Why & How to Make a Career in Data Science!

Parting Note

Ready to make a difference to yourself!

How to get a job in data science? Just put your best foot forward to make a career in the field of data science. The world of data is full of opportunities and has immense potential for certified data scientists who have a keen eye to figure out the best synopsis out of the huge data piles and make a difference to the organization. 

Learning the required skill-sets and practicing them well, working on gaining real-time industry exposure will open up doors for a rewarding and much-in-demand career as a Data Scientist.

Ask us anything about data science, and our experts will be more than happy to guide you ahead!

FAQs on Data Science Course

Q1) What is the job of a data scientist?

Ans: The job of  data scientists evolves around computer science, statistics, and mathematics. They are responsible for analyzing, processing, organizing data and then interpreting the results to come up with actionable plans for a company.

Q2) Is it worth it to switch to a career in data science?

Ans: Data science is an excellent career option with tremendous opportunities to grow in the future. The demand for data science professionals is already high, salaries  are competitive, and the perks are numerous. Also, the way towards data science is very simple, one can begin with  a data science course online. With so many advantages on the way, no doubt Data Scientist has been called “the most promising career” by LinkedIn.

Q3) How to get a data analyst job with no experience? 

Ans: Here is the stepwise process on how to get a data analyst job with no experience

Step 1: Choose a language you're interested in and learn it thoroughly. 

Step 2: Begin with self-study – there are numerous data science courses online and Youtube videos from which you can learn. 

Step 3: Become certified – go for an authorized organization and get your knowledge and skills verified. 

Step 4: Build Portfolio – create a strong portfolio highlighting all your skills and knowledge

Step 5: Apply for internships and entry-level jobs

Q4) How to get a data science job without a degree? 

Ans: Below, we have listed some quick tips to help you on how to get a data science job – 

  • Get Prerequisite Knowledge.
  • Learn Data Science 
  • Check through real-time case studies
  • Work on live projects to get hands-on experience 
  • Get Certified for your skills and knowledge 
  • Build a strong portfolio
  • Apply for jobs 

Q5) What is a data science course? 

Ans: Data Science Course is a compilation of different techniques for recording, analyzing, and storing data to gain insights and predict future activity by checking structured and unstructured data.

Q6) What should a data science course syllabus include?

Ans: The syllabus of a Data Science course syllabus is focused on three main components: Big Data, Machine Learning and Modeling in Data Science. Some of the major topics covered in the course include Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, Algorithms, etc.

Q7) What can I expect from a basic Data Science course?

Ans: A beginner's Data Science course will help you provides you with the basics knowledge of data science, it also takes you through the top Python libraries for Data Science, some of the essential Data Science algorithms, and the top Data Science jobs, skills, and salary trends.

Q8) What major skills will you learn in a data science course? 

Ans: Statistical analysis, Machine Learning,  Data Visualization,  Deep Learning – these are some major skills a data science covers.

Q9) What is data science course eligibility? 

Ans: Generally, a basic data science course eligibility includes 12th pass (for bachelors in data science) with 50% aggregate marks and have some basic concepts of mathematics and statistics (Probability, Calculus, Algebra).

Q10) What should be the learning objectives of a data science course?

Ans: The objective of learning data science should be to master in exploring, sorting and analyzing metadata from multiple sources to utilize them and come up with conclusions to optimize business processes.


    Rashi Pundeer

    Rashi is the originator and primary contributor to this blog. With fact-dragging research and a tech-savvy approach, Rashi has been helping digital learners with quality content at Janbask Training.


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