A Data Scientist salary can be USD 14,500 when you get 5-9 years expertise

1. Data Science - Learn Big Data Analytics

2. Contents: • What is Data Science? • Why Data Science is so important today? • What are the skills needed for a Data Scientist Job? • Data Science Trends and Opportunities in the Future • What is a data scientist's salary? • Data Scientist Salary by Companies • Data Science Course

3. What is Data Science? Data science is using data to make better decisions with analysis for insight, statistics for causality, and machine learning for prediction.

4. Why Data Science is so important today? • The main reason for a lot of hype is because of the kind of salary which such a job profile fetches. It can fetch you a really good salary. It also provides job security, because nowadays every company needs a data scientist. And the applications are also myriad. It is not just restricted to a single domain. It has applications in fields like finance, e-commerce, healthcare, agriculture, social media, entertainment and many more fields. Its applications are truly endless. • IBM predicts that demand for data scientists will soar by 38% by 2025 • Data scientist roles have grown over 850% since 2017, but currently, 65,000 people in the US have data science skills, while hundreds of companies are hiring for those roles. • Software engineering is a common starting point for professionals who are in the top five fasting growing jobs today. The career path to Machine Learning Engineer and Big Data Developer begins with a solid software engineering background. • Data Science gives you career flexibility

5. What are the skills needed for a Data Scientist Job? We have listed down all the skills required to become a Data Scientist: • 1. Machine Learning • Machine learning is a subset of Artificial Intelligence that focuses on the learning of data and its computational machine. Various algorithms of machine learning are used in clustering, classification, and regression of data. • Clustering: Data Scientist uses this method to divide the data into a number of groups such that data in one particular group is similar to other data points in the same group and not similar to the data points in other groups. • Classification: It is a method utilized for approximating a function from input variables to output variables. • Regression: It is a method used for the prediction of the dependent variable in a group of independent variables.

6. What are the skills needed for a Data Scientist Job? 2. Programming language: So, you should know to write the program to understand so much data, shouldn’t you? That’s when the understanding and knowledge of the programming languages become essential for you. The most renowned and used languages in data science are Python, R, SQL, Jupyter notebooks, and Tensor flow, etc. 3. Data Visualization It is a method to visualize the analyzed data. It is really difficult to understand a massive amount of data, isn’t it? That is the reason why a data scientist uses the method of data visualization in the forms of graphs and charts because they make easier to understand the pattern and the trends. There are various types of data visualization such as Graphs, Charts, Tables, and Maps, etc.

7. What are the skills needed for a Data Scientist Job? • 4. Statistics • Statistics is an integral part of all machine learning algorithms. It allows a data scientist to dig deep into the data and get accurate and in-depth knowledge of data which helps us to study the data. There is no other way to execute the algorithms of machine learning and data science without statistics. • Type of Statistics: • Descriptive Statistics:It gives knowledge about the data. In this, data is organized and categorized on the basis of the given parameters. And that can be done through tables, graphs, or numerical value. • Inferential Statistics:This can predict the output based on the previous data. The procedure of inferential statistics is based on the testing of hypotheses and calculation of parameters.

8. What are the skills needed for a Data Scientist Job? • 5. Data Mining • A data scientist uses this technique to extract useful information and discover trends from the data. For accuracy, we require a big amount of data. Steps of Data Mining: • Exploration of Data: It means to collect data that is relevant to a particular problem. This can be performed manually or automatically. Data scientists use programming languages to extract manual data. • Modeling: This technique involves applying algorithms on the data and to get the best data model which is relevant to the problem. Various models are applied to the same data for getting the best result. Meta-learning and booting are some popular techniques. • Model Deployment: The final stage in data mining is the model deployment and it is essential because the whole study process is based on this.

9. Data Science Trends and Opportunities in the Future According to a new report Global Data Science Platform Market, published by Markets and Markets Research Private Ltd., The Data Science Platform market size is expected to grow from USD 37.9 billion in 2019 to USD 140.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 30.0% during the forecast period. As Data scientist jobs are in demand in this technology-driven modern world, there will be a plethora of Data scientist jobs for you in the years to come. Due to the remarkable popularity of data science, there are a plethora of online data scientists’ courses that are available today. More Detail:https://www.skillxs.com/blog/data-science

10. What is a data scientist's salary? Career prospects in Data science are bright as even an entry-level scientist can earn as high as $7,000 per year. An early career data scientist with 1-4 years of experience earn an average of $8,250 annually. And this can go even to an average of $14,500 per year with 5-9 years of experience. Source: payscale.com

11. Data Scientist Salary by Companies Undoubtedly, renowned firms rule the outlines of the most lucrative pay rates for information employments. They likewise hold a notoriety for expanding compensations by 15%, yearly. Source: payscale.com

12. The Complete Data scientist Course Course Summary: The Data scientist training will provide you the expert knowledge to implement the data science programming ethics and to be able to transform the data using various ethics. The course will help the professionals in implementing the algorithms, functions, methods, and Excel objects and mathematical analysis for extracting valuable insights to apply strategic decisions within the organization. The goal of data science is to gain insights and knowledge from any type of data both structured and unstructured Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights. Course Detail:https://www.skillxs.com/course/117/data-scientist

13. SkillXS IT Solutions provides the best Data scientist online course that will help to become job-ready. Hence, what are you waiting for? SkillXS IT Solutions is giving you the chance to become a zero to hero level data scientist.

14. Who WeAre? Visit ourwebsite www.skillxs.com Drop us aline info@skillxs.com Skillxs, an online and hybrid learning company, offers impactful, industry-based learning programs and courses on AI, ML, Business Analysis, Data Science Engineering, etc. Our IT training programs unlock people’s potential, speed up their technology adoption and Empower them to confidently seize tomorrow’s business opportunities. Give us acall +91 (120) 456 2681 Address Office No 7, 5th Floor, A 40, Block A, Sector 62, Noida, U.P. India 201301