The Ultimate Guide to Getting Started with Data Science

If you take a quick look at today’s business and commercial world, you will surely come across the terms Data Science and Data Analytics. This is because data has become an integral part of the success of business in the 21st century. Data Science is a discipline of information technology that focuses on extracting knowledge and actionable insights from structured and unstructured data and applying that knowledge to address problems.

If you are a complete beginner interested in pursuing a career in data science, but don’t know where to start, the information in this article can help you build a lucrative career in this exciting and growing industry.

Start with Basic Preparations

To pursue a career in data science or  related technology, you should have a thorough understanding of computer science, data visualization, data mining, mathematics, statistics, and machine learning. Having the skill set prepared in advance will not only speed up your learning, but will also increase your knowledge. Below is a list of topics that you should consider:

1. Math and Statistics

A solid foundation in math and statistics is essential for any data scientist to become a well-rounded data scientist. Data scientists are essential for any data-driven business. They’ll need to understand various statistical approaches, such as distributions and maximum likelihood estimators.

2. Analytics and Modelling

It is important to effectively analyze raw data to find trends and make them meaningful. Therefore, analytics and modeling are essential to understand data, create predictions, and make better business decisions. This helps in choosing the right data set, algorithms, and techniques to solve a particular business problem.

3. Machine Learning Methods

Data Scientists need to understand Machine Learning for quality prediction and estimation. This allows machines to make the right decisions and act smarter in real time without any human intervention. Although expert knowledge is not always required, but it is recommended that you familiarize yourself with Machine Learning to boost your productivity.

4. Programming

Data scientists need to have knowledge of various programming languages, such as R and Python, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These languages help data scientists organize unstructured data sets. Therefore, you need to be proficient in programming to move beyond the theory and create practical applications.

5. Data Visualization

Data visualization is an essential component of being a Data Scientist as you need to convey important messages and get effective support for the proposed solution. By providing easy-to-understand visual representations of data such as charts, graphs, and maps, business users can analyze the data quickly and efficiently.

6. Communication

Data cannot be communicated unless someone manipulates the data. Therefore, Data Scientist need to have good communication skills. With data or presentations to company management, communication can make all the difference to the outcome of a project.

So now that you know what you need to become a data scientist, one of the best ways to get started in your Data Science career is by enrolling in an online Data Science course which has an excellent curriculum and no prerequisites. One such platform is Tata Steel Digie-Shala

Learn Machine Learning, Tableau Fundamentals, Complete Statistics for Data Science and numerous Data Science related courses with Tata Steel Digie-Shala and know all the basic and advanced topics essential in Data Science. These in-depth course starts from a complete beginner-perspective and introduces you to the various facets of statistics and concepts required to solve business problems and help you make better business decisions from data.

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