Data Science Career Opportunities

Hi, I am Suraj from Seven Mentor. In this blog, we will discuss why data science is trending and what are opportunities for data science in the market now also which are the skills required. You know that Data is everywhere. Today’s Data is generated in millions of tons. Due to new emerging technologies, devices, and communication sites like Twitter, Facebook, and Instagram means social networking sites, the amount of data produced by users is growing rapidly every year. Creating reels, short, and uploading photos and videos that increase data on the internet. We can find a way to analyze, process, and draw useful insight from data so that we can solve complex problems or grow our business, to increase business profit. We have complex data whose scale is large, which means it’s Big Data !!!!. To handle this data, we need advanced tools so we have a tool for Data Science, Machine learning, and Deep learning. Let’s discuss what are Data Science career opportunities and also why ‘Data Scientist’ is the sexiest job title of the 21st century. Want to become a Data Scientist? Join SevenMentor’s best Data Science Training in Pune 

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Data Science Career Opportunities

According to Harvard Business Review, A Data Scientist is a high-ranking professional that discovers insight into the world of Big Data”. Therefore Increasingly, companies are aware of the importance of data to optimize their business operations. Business leaders and decision-makers have to make decisions and ensure prosperity and growth in business using data. According to market or industry estimates, Data scientist job roles are growing at 14 %, and also in terms of jobs, will increase by 11 million jobs by 2026

“Demand is high, supply is low due to lack of skill”

Top 20 Emerging jobs in the world now-:

Python and R Programming are the most common programming languages required in Data Science roles. The knowledge of this programming language is used for organizing unstructured data sets and generating necessary results that are desired by companies. To analyze the data and apply sets of algorithms as and when required, Data scientists should have skills in these programming languages, mathematics and statistical skills, analytical tools, creative thinking, and decision-making ability.

The demand for Data science and analytics has been very high across industries like Automobile, healthcare, finance, government, energy, hospitality, and logistics. In the upcoming years, the demand for data scientists and analysts with knowledge of Python and R programming languages is expected to go above 10 million. Join SevenMentor to learn Data Science Course in Pune

For Free, Demo classes Call: 020-71173143
Registration Link: Click Here!

Data Scientist Salary Trends

Starting salaries for data science job roles have incredible growth with the average salary starting from $210,000 per annum This can go up to limitless amounts due to the potential entrepreneurship opportunities.

By the survey of Indeed.com, the average Data Scientist salary in the US are 80% higher than average salaries for all other jobs

Data Scientist Job Roles

Data Scientists have prominent roles in industries like Data Scientists, and business analytics. Building data products and software platforms, creating dashboards,s and training machine learning algorithms are the responsibilities as Data Scientist

Some On-demand Data Scientist job roles are:

• Data Scientist
• AI Engineer
• Machine Learning Engineer
• Data Engineer

• Applied Data scientist
• Statistician
• Data Architect
• Data Administrator
• Data Analyst
• Business Analyst
• Data/Analytics Manager
• Business Intelligence Manager

For Free, Demo classes Call: 020-71173143
Registration Link: Click Here!

Data Science Skills

You should have an interest in programming than in logic and also in mathematics to gain proficiency in Data Science

Some of the Data Scientist skills that are required to get a job in Data Science are:

• Programming Languages: R/Python/Java
• Creative Thinking
• Decision-making ability
• Analytics tools-: Tableau, Power BI, Excel
• Statistics and Mathematics skill
• Knowledge of Hadoop and Spark
• Databases: SQL and NoSQL
• Machine Learning and Neural Networks
• Proficiency in Deep Learning Frameworks: TensorFlow, Keras, Pytorch, NLTK

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