Get Yourself The Best Certification! Be A Data Scientist

Introduction

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?

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 indeed.com, 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. 

• Facebook: $153,000
• IBM: $125,000
• Google: $143,000
• Oracle: $140,000
• Microsoft: $138,000 
• Amazon: $121,000
• Apple: $149,000

Every organization today is heavily dependent on data for its decision-making process. Thereby you should be 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 behavior 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 the top companies that are looking for data scientists.

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 With No Experience/ Data Scientist With No Experience?

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 https://www.amazon.jobs/en/jobs/1008217/data-scientist-intern 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 https://in.linkedin.com/jobs/data-science-intern-jobs

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 - https://jobs.cisco.com/jobs/ProjectDetail/Data-Scientist-Intern-India-UHR/1338852

Amazon - https://www.amazon.jobs/en/jobs/1008217/data-scientist-intern

Quora - https://boards.greenhouse.io/quora/jobs/5438708002

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.

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.

Mention relevant certifications, some of the best certifications are:

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.

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.

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.

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.

Deep Learning Course 

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

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.

SAS Certified Big Data Professional

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.

Google Certified Professional Data Engineer

Much talked about advanced certification is Google certified data engineers. The certification stamps up your knowledge of Google's cloud platform (GCP). The certification has no expiry.

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 required to enter the field of data science.

#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 upon. 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. 

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!

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