Data Science

Data Science

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data. Data scientists use a variety of tools and techniques to collect, clean, analyze, and visualize data. They also use statistical and machine learning models to make predictions and recommendations.

Becoming a Data Scientist: Helpful Tips

Math, Stats, CS

Consider university or college courses for in-depth learning of data science tools and techniques

Master Data Science

There are many online resources and tutorials available on data science tools and techniques.

Build Data Experience

Build experience through personal projects, open source contributions, or data science internships.

Connect Data Scientists

Join events to network with data scientists, uncover opportunities, and establish connections in the field.

What Is The Earning Potentials For A Data Scientist?

Data scientists are highly sought-after, with salaries matching expertise. In a nutshell, the average data scientist’s salary in India as per experience can be summarized as follows:

  • Freshers (0-1 year)₹ 5.11 LPA
  • Junior data scientists (1-4 years)₹ 8.06 LPA
  • Mid-level (5-9 years)₹ 13.67 LPA
  • Expert (10-12 years+)₹ 24 LPA

Here are some of the things that data scientists can do

Here are some specific examples of the types of projects that data scientists might work on:

  • Developing a machine learning model to recommend products to customers on an e-commerce website.
  • Building a predictive model to forecast the demand for energy in a city.
  • Analyzing data from clinical trials to identify new drug targets.
  • Using data to improve the efficiency of a manufacturing process.
  • Detecting fraud in financial transactions.
  • Predicting the risk of customer churn.

Get Placed

Identify patterns and trends in data

Data scientists use their skills in statistics and machine learning to identify patterns and trends in data that would be difficult or impossible to see with the naked eye. These insights can be used to improve products and services, make better business decisions, and even predict future events.

Develop and implement machine learning algorithms

Data scientists can develop and implement machine learning algorithms to solve a wide range of problems, such as image recognition, natural language processing, and fraud detection.

Build predictive models

Data scientists can build predictive models to forecast future outcomes. For example, they might build a model to predict customer churn, identify fraudulent transactions, or forecast the demand for a new product.

Communicate insights to stakeholders

Data scientists need to be able to communicate their findings to stakeholders in a clear and concise way. This often involves creating data visualizations and dashboards, as well as writing reports and presentations.

Companies our aluminis working for

This course is for you if

Have 0 coding knowledge

You do not have coding experience, but want to get a quick-start in IT career

Want IT skills

You want to get real skills, and not just a certificate

Want a high-paying job

You want to earn upto 36 LPA & even more salary!

Switch from non-IT to IT

You want to switch your career from any field, and get a new IT profession

Why choose BoostMySites Data science Program?

Join Boostmysites to master efficient, cost-effective Data Science, backed by a supportive community. Be at the forefront!

  1. No Prior Coding Skills required,- We start from scratch and basics. So, we got you covered!
  2. 100% placement assistance.
  3. Get Job of min 4 LPA
  4. Build 6+ projects during the course.
  5. All trainers with min 4 years of industry experience – Entry Criteria: Your passion and commitment to learn coding.
  6. One on one doubt clarification sessions.
  7. A designated mentor to guide you through out the program.
₹ 89,999 Including GST
You can now avail the emi option! As we have tied up with Bajaj finance to make the process easier.

Your future career after Data Analyst course

Junior - 1-3 years | 3-5 LPA
Senior - 6-8 years | 9-36 LPA
Middle - 4-5 years | 6-8 LPA
Data Analyst abroad - US | $100,000+

Data Analyst career path

Career boosting programs for a better future

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