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The need for Data Scientists has tremendously outgrown ever since business data generation & consumption has extremely increased. Data-driven businesses are craving for Data Science because it helps perform effective data analysis, without any complex routine, deadly costs, time & effort. The Data Science solutions are in heavy demand right now, & so are the Data Science career options.
In such need, are you doubtful about the how & why to pursue Data Science Career Path or more specifically...
Then we are sure you might be surrounded by these questions for sure...
It’s quite natural to have these doubts, especially when you are branching towards a new popular skillset. A Data Science career is a perfect choice in terms of reskilling with. With data generation & consumption in every second, the data analysis is a blessing for businesses to understand & consume data for better business outputs.
If you are determined to learn Data Science, go ahead & follow this complete Data Science career path/guide.
Find out when Data Science technology was coined & why it is of utmost importance even till now in small scale, medium & big scale enterprises -- before you plan to build a career in Data Science.
When was the Term Data Science Coined?
Why do companies leverage Data Science technology?
Big Data is an important tool for big businesses & industries. The availability & interpretation of big data is needful for business models to elevate.
Data-concentric businesses are worth $1.2 trillion (which is an increase from $333 billion in 2015).
Data-driven companies are drooling over Data Scientists to help them:
Why companies are looking for skilled & certified Data Scientists?
Companies need Data Scientists to:
Increase by 364,000
Data Scientists are expected to be on a sharp rise. By 2020 end, IBM has predicted the Data Scientist positions will increase by 364,000. There can be around 7,00,000 total openings for certified & skilled Data Scientists.
More Than 11 Million
It has been predicted that there will be more than 11 million jobs for the combination of Data Science & Analytics. After the popular country US, India will be the next hotspot for Data Scientist vacancies.
Read: Data Science vs Machine Learning - What you need to know?
Sector
The demand for data scientists is not concentrated in just the IT sector, it is today in every sector be it retail, BSFI, healthcare, banking, manufacturing, eCommerce, and more where a large amount of data is collected & processed for analysis.
Data-Driven organizations earn proven ROI, and by investing in effective analysis, they can put a stop to their wasteless efforts & costs.
Data Scientists can easily work from home despite any hindrance in physical work locations.
Data Science is extremely needed in today’s scenarios. Companies are hiring Data Scientists to forecast market trends, evaluate pandemic-related behaviors, build new & improved business models to extract opportunities for businesses to excel.
Data Science is the hottest market right now. Planning a career in this technology is a soluble choice if you want to change careers, jobs, or are wanting to build a long-lasting career from start.
Here are the 4 explicit variations that you can pursue under Data Science technology, despite your technical or non-technical work & educational background.
Data Scientists
If you are interested in leveraging maths, data modeling statistics, analytics, along with business sense to solve business’s vexing problems for helping them take objective decisions --- Then you can choose to be an overall Data Scientist.
Data Scientist With R
R is a very popular programming language cum data analysis software. If you are interested in learning & using this language to conduct data analysis, statistical analysis, Data Visualization, and predictive modeling --- You can choose to be a Data Scientist with R language.
Data Scientist With Python
Python is an open-source, high-level programming language that is considered best for object-oriented programming. Python has a great deal of usage in Statistical analysis & scientific function. If you wish to perform data exploration & analysis with Python & its Library Pandas; NumPy; SciPy, you can choose to be a Data Scientist with Python.
NLP Data Scientist
NLP (Natural Language Processing) is a further branch of Data Science that attempts to read, extract, and derive insights from the text or human language to help businesses scale. If you are interested in analyzing, modeling structured or unstructured data using advanced statistical techniques, and implement software & algorithms to analyze data --- You can choose to become an NLP Data Scientist.
“Having doubts about starting a career in Data Science despite non-technical work & educational background?” Building a career in Data Science is possible to follow for every individual from technical to non-technical work & educational backgrounds. (Yes, even you reading this)!
Check out the different Data Scientist roles Salaries in 4 popular countries in the U.S, UK, Canada, India.
Read: Probabilistic Model-Based Clustering in Data Mining
You can try to follow these tips if you are too scared that entry-level Data Science jobs won’t get you that fat juicy paycheck as desired.
Be around the industry’s Data Science experts as it will help you with knowledge building as well as attract lucrative compensation opportunities.
Hard work & self-belief can do wonders!
After completing the Data Science training, don’t forget to get the Data Science certifications as they will help you --- get recognition during the hiring process, make you confident enough to ask for the best negotiation, land upon the right job opportunity, and establish long-term career growth.
What are Data Science Certifications?
Why must I write these Data Science Certifications?
By having the Data Science certifications in your portfolio, you:
But...Data Science Certifications alone won’t guarantee you a job. They would just help to get near to the desired job at wealthy paychecks. If you have relevant knowledge skills along with a certification in hand, you can easily qualify for the ideal job.
Want to know what Data Science Certifications you can go for? Come take a quick & free Data Science Demo Class to know!
Here are the few ways on how you can build a career in Data Science!
Step - 1 Do Your Research on Data Science from a career point of view!
Perform your Exhaustive research on Data Science career to know:
Gather answers to all these questions to make up your mind!
Step - 2 Get that Data Science Career Advice or Counselling!
Step - 3 Make a Decision, Don't Keep on Waiting!
Quickly decide because good opportunities don’t wait & last long. If you will decide now, you will experience career gains early on.
“Don’t take 6 months or a year to decide, have a quick decision to score amazing Data Science career opportunities!”
Read: Data Science Certifications - Types, Details (Preparation Tips)
Step - 4 Get that Formal Data Science Training!
To enter the Data analysis world, skill-building is a must. There is no better way than joining a professional Data Science Training platform.
Formal Data Science Training will:
“You are a quick Training away to start your brilliant Data Science careers”.
Step - 5 Ace that battle of Data Science Certifications!
“Don’t forget the Data Science certifications. Train for them, ace them, and give your resume & portfolio an edge.”
Data Science certifications are the best ways to validate your skills & knowledge by the highest authorities and get yourself that recognition during the hiring process. Some companies even prefer hiring skilled & certified Data Scientists with R or Python.
Step - 6 Network, Practice & Start Applying for jobs!
With data growing each minute, it’s getting nerve-wracking for businesses to explore, handle, and use it rightly. Every data-driven company today needs Data Scientists to help them distill & transform the voluminous data into meaningful information that can lead to successful business decisions & outcomes. We can say, Data Science is an unwavering need for businesses this year & in years to come, approaching this technology as a career is only gainful.
Learning Data Science is no rocket science. You can be a pro at this data exploration & analysis technology earlier than you think if you show little dedication for learning during the Data Science Certification Training course online. Just pick up an accredited training course where instructors are industry experts & the course material is based on real business problems, and rest you will be good to go.
To start a career in Data Science, follow these 6 easy steps:
To always get better Data Science career options, make sure you are keeping your Data manipulation & analysis knowledge up-to-date, and have well-polished communication skills & overall personality. To know “How to Start Career in Data Science” in detail, hop onto our free demo class!
Data Science is a desirable career in terms of pay, job satisfaction, learning, growth & whatever else conditions you often look for. And with this Data Analysis technology’s crazy demand (today & in years to come) in data-concentric entities, you won’t have to be worried about your Data Science career growth. With this complete Data Science Career Path or guide, we hope we helped you find answers to your endless queries regarding:
Don’t remain undecided about the exciting Data Science career opportunities. If we have left some of your doubts still unanswered, we would love to hear from you in the comments down below. Or if you are interested in more detailed Data Science career advice, how about scheduling your free Data Science career counseling with us? We can help with complete Training and Data Science Guide Interview Preparation as well.
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