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Data Scientist Career Path – Fresher, Working Professionals and Managers

Introduction:

India is fast growing and shining in terms of promoting contemporary and emerging technologies. Enterprises in almost all critical industries are hiring data science experts to help them gather actionable insights from big data. The analytics sector has registered a sharp rise in demand for fully skilled professionals, who embrace both the business world as well as the technical world.

Data Science is currently considered one of the most lucrative jobs in the industry. With wide openings across all sectors, data science jobs are only showing signs of blooming. As companies are adopting data science, companies are hiring data scientists as clans.

Data Science is now being merged with industries from all sectors. It is therefore important for data scientists to have a broad set of skills, in addition to having cohesive expertise and collaboration.

Data scientists unwind complex data problems with their mighty expertise in scientific disciplines. They handle many aspects related to Mathematics, Statistics, Computer Science etc.

Data Scientist Career Path - Fresher, Working Professionals and Managers

They put together the latest technologies in figuring out solutions and drawing conclusions that are vital for the growth and development of an organization. Data scientists propose data in a more useful form with the raw data available from both structured and unstructured forms.

Data scientists are expected to have skills in mathematics, statistics, data modelling, Python or R programming, databases, business skills, visualization/BI and especially presentation skills.
As stated by Glassdoor, data scientists can estimate to make an average of $117,345 per year.

In India, a Data Scientist receives an average salary of INR 10,00,000 per annum. To know city wise read “What is the Salary of a Data Scientist in Indian Cities?”

But that number can vary depending on where the data scientist works, or their years of experience. Let us explore and learn about the Data Scientist Career Path – as a Fresher, Working Professionals and Senior Managers and Business Owners.

Understanding statistics, probability and mathematics is a basic requirement when you wish to work as a data scientist. Data scientists are supposed to work on various machine learning algorithms, hypotheses and models to form decisions and give suggestions. It is one of the radical skills for data scientists.

Data Science for Freshers – Market, Skillset, Roles and Responsibilities, Salary, Syllabus and Qualifications

1. Market:

Getting into Data Science can prove to be highly rewarding and will help you build a career. As a fresher, you could be wondering what the various Data Science job roles are, and which companies are hiring for which positions?

2. What skills do you need to kickstart a career in data science?

  • Basic understanding of MS Excel
  • Good knowledge of statistics
  • A strong hand in math
  • Familiarity with ML
  • Mastering the programming language
  • Analytical skills
  • Communication skills
  • Attention to detail

3. Roles:

  • Data Analyst
  • Research Analyst
  • Cloud Engineer
  • Junior Android Developer
  • Junior iOS Developer
  • Data Engineer
  • Data Architects
  • Operation Scientist
  • Quantitative Scientist
  • IT Systems Analyst
  • Healthcare Data Analyst
  • Data Scientist Consultant

4. Responsibilities

  • Collecting large amounts of structured and unstructured data and converting them into actionable insights.
  • Identifying data-analytics solutions that have the most significant potential to drive organizations’ growth.
  • Using analytical techniques such as text analytics, machine learning and deep learning to analyze data, thereby uncovering hidden patterns and trends.
  • Inciting a data-driven approach to resolve complex business problems.
  • Purifying and validating data to optimize data accuracy and efficacy.
  • Convey all productive observations and discoveries to the company’s stakeholders through data visualization.

5. Salary:

  • The average data scientist salary is INR 698,412.
  • An entry-level data scientist with less than one year of experience can earn around INR 500,000 annually.
  • Elementary level data scientists with 1 to 4 years of experience get around INR 610,811 per year.

TO know about data science course fee read “What are the Fees of Data Science Training Courses in India?

6. Syllabus:

  • Certified Data Science

The Certified Data Science course is a well liked course that enables in gaining competence in Data Science. It is a high-level data science concept fabricated with an aim to encompass all aspects of data science with core concepts. Our Data Science course is accredited by IABAC (International Association of Business and Analytics Certification) which is a global certification.

  • Data Science Foundation

Data Science Foundation is a high-level data science course formulated with an agenda to introduce data science and its landscape, fundamentals as well as core concepts of data science. There are three vast domains of Data Science. Statistics, Machine Learning / Programming / Data Skills, Business Domain Knowledge.
For more details about data science foundation, visit: https://datamites.com/data-science-training/foundation-course/

  • Diploma in Data Science

Diploma in Data Science is a practical data science and machine learning course for fresh graduates and early career professionals looking to start their careers in this lucrative field. A specially curated training course that will provide fundamental knowledge of data, skills and ability to extract, transform, analyze and model data.

For more details about Diploma in data science, visit: https://datamites.com/data-science-course-for-beginners-freshers/

7. Qualification

  • Bachelor’s degree in Science/Engineering/Business Administration/Commerce/Mathematics/Computer Applications
  • or a Masters degree in Mathematics/Statistics/Commerce with 50% or equivalent passing marks.

Data Science for Working Professionals – Market, Skillset, Roles and Responsibilities, Salary, Syllabus and Eligibility.

1. Market:

Transitioning to a new career can feel like getting on a plane that is already flying. Although everyone knows about data science, many of them are not aware of what exactly data science is or why it is known as the sexiest job of the 21st century.

2. What skills do you need to kickstart a career in data science?

  • Programming Skills – Having knowledge and skills of Python and R would be highly beneficial.
  • Knowledge on SQL
  • Understanding of Math and Statistical Concepts
  • Machine Learning and Deep Learning Concepts
  • Data Wrangling
  • Data Visualization
  • Model building and Deployment
  • Software Engineering
  • Communication Skills
  • Problem-solving Skills
  • Organizational Skills
  • Time Management Skills

3. Roles

  • Technical Architect
  • ML Engineer
  • ML Scientist
  • Application Architect
  • Data Architect
  • Infrastructure Architect
  • Data Engineer
  • BI Developer
  • Statistician
  • Data Analyst

4. Responsibilities

  • Gathering extensive amounts of structured and unstructured data and turning it into useful information.
  • Identifying data-analytics solutions that have the most potential to drive businesses forward.
  • Through data analysis tools like text analytics, machine learning and deep learning to uncover hidden patterns and trends.
  • Data cleaning and validation to improve data accuracy and efficacy.

5. Salary

A data scientist with 1-4 years of experience in his early career earns an average of Rs 787,149 per year. A Data Scientist with 5-9 years of experience receives an average total salary of INR 1,385,001 per year. (Payscale.com)

Professionals who wish to enhance their professional capabilities can apply for:

  • Statistics for Data Science
  • Data Science with R Programming Course
  • Python for Data Science
  • Data Science Associate
  • Certified Data Scientist Operations
  • Data Science with R Programming Course

6. Eligibility

If you are a working professional who is looking forward to finding another course of action for your career or wish to step into the Data Science, Data Analytics and Machine Learning domain are eligible for the courses listed above.

Data Science for Senior Managers and Business Owners – Market, Skillset, Responsibilities, Salary, Syllabus and Eligibility.

1. Market

Data Science has immense potential and its implementation spreads to numerous industries – who try to enact data science techniques to undertake analysis and make their systems full proof

  • Finance
  • Education
  • Scientific Research
  • Health
  • Retail
  • Information Technology
  • Government
  • eCommerce

2.What skills do you need to start a career in data science?

  • Fundamentals of Data Science
  • Statistics
  • Programming Knowledge
  • Data Manipulation and Analysis
  • Data Visualization
  • Machine Learning
  • Read or learn attentively
  • Big Data
  • Software Engineering
  • Model Deployment
  • Communication Skills
  • Storytelling Skills
  • Structured Thinking
  • Curiosity

3. Responsibilities

  • Closely work with your business to recognize issues and use data to propose solutions for efficient decision making
  • Build algorithms and design experiments to merge, manage, query and extract data to supply tailored reports to collaborators, customers or the wider organization
  • Use machine learning tools and statistical techniques to solve problems
  • Maintain clear and consistent communication, both oral and written, to understand data needs and report results
  • Create clear reports that tell compelling stories about how customers or clients work with their business
  • Evaluate the potency of data sources and data-gathering techniques and enhance data collection methods
  • Create clear reports that tell compelling stories about how customers or clients work with their business
  • Conduct research from which you will develop prototypes and proofs of concepts
  • Look for opportunities to use insights/datasets/codes/models in other functions in the organization (eg in HR and marketing departments)
  • Be curious and passionate about using algorithms to solve problems and get others excited to see the benefits of your work.
  • Has responsibility for the organization’s data science strategy
  • Construct new systems and processes and look for opportunities to upgrade the flow of data
  • Evaluation of new and emerging technologies
  • Represent the company at outdoor events and conventions
  • Build and develop relationships with customers.

4. For senior managers and businesses owners DataMites offers courses such as:

5. Salary:

The highest salary for a Data Scientist per annum is Rs. 24,00,000, while the minimum is Rs. 500,000 per year in India. If you are opting for the role of a data scientist then you can expect a decent package with certain skills.

6. Eligibility

Experienced professionals and managers belonging to other domains undertaking data science projects.

Are you onboard to join Data Science Courses? Join DataMites Training – the one for you!

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About Data Science Team

DataMites Team publishes articles on Data Science, Machine Learning, and Artificial Intelligence periodically. These articles are meant for Data Science aspirants (Beginners) and for those who are experts in the field. It highlights the latest industry trends that will help keep you updated on the job opportunities, salaries and demand statistics for the professionals in the field. You can share your opinion in the comments section. Datamites Institute provides industry-oriented courses on Data Science, Artificial Intelligence and Machine Learning. Some of the courses include Python for data science, Machine learning expert, Artificial Intelligence Expert, Statistics for data science, Artificial Intelligence Engineer, Data Mining, Deep Learning, Tableau Foundation, Time Series Foundation, Model deployment (Flask-API) etc.

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