Data science is the most stimulating job nowadays. Many people dream of getting a data science job. A question arises of how to start learning data science or the point from where one should begin to learn data science. If you have an interest in the field of data science, then this article is for you. In this article, you will read about how you can learn data science from scratch. Data science is a collection of different components which make data science popular in the industry. In this article, the learning process of data science is explained through these components or steps. Continue reading this article to briefly describe how you can learn data science from the start. This process will be explained in the following steps:
- Learn basic concepts of python programming
- Learn basics of mathematics and statistics
- Learn data analysis with a python programming language
- Machine learning concepts should be learned after the third step
- Must practice what you have learned by doing projects
Learn basic concepts of python programming:
If you have done your last degree in IT or computer science, then you must be aware of the concepts of the python programming language. If you have an IT background, it will be advantageous for you to leave this step and move on to the next. In this way, you can save your time and learn quickly and easily. But if you are not aware of the coding, you should start learning Python as soon as possible to get into the field of data science. It is the easiest way to learn to code, and it is the language used in most of the development process. Looking forward to becoming a Data Scientist? Check out the Data Science Syllabus and get certified today.
For learning Python, you can search online courses or watch videos to learn easily. You can learn data science with Python by following sites:
You can find many more resources online and get more and more information. Multiple YouTube channels provide online tutorials to learn Python. Firstly, you must get familiar with the basic concepts and continue to the next levels of python language. It is recommended to learn Python at an intermediate level to get data science expertise as this level covers many structures of data and files. Now, after this level, it is time to move further. Also, check this Data Science institute in Pune to start a career in Data Science.
Learn basics of mathematics and statistics:
Data science is a process where a large amount of data is analyzed. By applying different algorithms and functions, meaningful data is discovered which is smaller than the given data. This analysis involves different kinds of statistical and mathematical calculations. So, for this purpose, you need to aware of the basic concepts of mathematics and statistics. It is not like you must be a master of statistics or mathematics; it is just you must understand the basic knowledge of the most used concepts of both branches. Become a Data Scientist with 360DigiTMG Best Data Science institute in Chennai. Get trained by the alumni from IIT, IIM, and ISB.
You need to recall your high school mathematics and statistics to strengthen your concepts. You can read the following for this purpose:
- High school stats
- Think states using Python
You can learn these books online and purchase them from the market. In this way, you will move to the next step as you have got the required information about algorithms and functions for data analysis.
Learn data analysis with a python programming language:
Now your learning will get interesting as you know the basics of Python and statistics. You will not be able to learn things if you do not get your hands dirty. It means if you do not practice, then you cannot learn. You can learn free courses offered by Udacity if you cannot pay the fee to want to learn freely. In these courses, you can learn the basic libraries of Python like NumPy and pandas required for the analysis of data. You do not need to physically attend any institute to learn data analysis because you can learn by yourself online by only spending few hours a day. There are multiple more resources online form where you can learn freely and easily. You can explore the following sites for learning data analysis using Python.
After completing any one course from the above site, you will move ahead as you are now familiar with the basic knowledge of data analysis like arrays and data frames. You should also learn data visualization in this step as this is most important in data science. In this way, you will be able to draw results and patterns from the data. Now, after this step, you have learned half of the way of data science. Want to learn more about data science? Enroll in the Best institute for Data Science in Bangalore to do so.
Machine learning concepts should be learned after the third step:
In this step, where you have basic knowledge of the three earlier discussed steps, it is time to learn the machine itself. Different algorithms are applied to the existing models on the existing data to obtain accurate results by applying them to new data. You can machine learning from the following resources:
- Introduction to machine learning
- Feature engineering
- Coursera courses offered on machine learning
- Bootcamp courses
- Data camp courses for machine learning
Now you will differentiate between supervised and unsupervised learning, logistic regression, and many more. Now you should move to the last step to enter the data science field.
Must practice what you have learned by doing projects:
Now you are ready to properly get your hands dirty into this most overwhelming field. You should now practice what you have learned in the above steps. To become a successful data scientist, this step is very necessary as practice makes a man perfect. So, keep on practicing to learn more and more. To recall your knowledge from the start, try to solve projects offered by different online course providers. The easiest and best way to practice your learning is to start practicing on Kaggle. You can solve different online puzzles and quizzes to enhance your learning. You can also work on personal projects to earn and get experience and show your work in some contest or competition. Anaconda is the best pay to practice the projects, download them, and keep going. Also, check the following:
- Amazon datasets
- Google’s data sets
At the end of this article, you will surely have enough guidelines to get into the field of data science. There is also much more information except what you have learned. So, keep on learning.
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