A Complete Data Science Roadmap

Are you interested in developing a career in data science? If yes, congratulations. Here, in this complete data science roadmap, you will learn how and where to get started with data science. The roadmap includes nine steps required for a beginner as well as an expert.

Step 1. Fundamentals of Artificial Intelligence

Today, AI is everywhere. AI can be understood as a branch of computer science - a simulated intelligence. Its main goal is to develop smart machines that are capable of thinking and making decisions without human intervention. To build a career in emerging technology with a focus on developing a better understanding of AI.

The first thing to learn in a data science course is the basics of Artificial Intelligence (AI). This roadmap will benefit you with a comprehensive understanding of the concept of Artificial Intelligence. In this course, you will learn AI related applications and real world examples of AI.

Step 2. Mathematics for Data Science

Online data science training covers one important topic - Mathematics. Mathematics is the main area of ​​the whole process. It is calculated in statistics, linear algebra, calculus etc. You must learn and understand linear algebra to develop ML models.

This course in this roadmap will give you a little basic knowledge about matrices and other advanced operations and concepts. After this, you will be able to better understand your model and deal with problems effectively.

Step 3. Computer programming

Once you have a proper understanding of mathematics, you are ready for implementation. Implementing the algorithm requires a deep understanding of many computer programming fundamentals and languages.

Programming languages ​​are used in data science and each of these languages ​​works on function or collection of code. Python and R are the most popular computing languages ​​used with Python. You need to be proficient in understanding programming concepts and language.

Step 4: Statistics with Python / R

Once you have an in-depth understanding of programming languages, move on to the next big step in the roadmap. He is learning to implement statistics with computer programming. Statistics with Python is one of the most basic concepts associated with it.

You must select Data Science Documentation. Here, you will learn statistics with Python; Including Bayesian guessing techniques. Upon successful completion of this Data Science course, you will be equipped with statistical modeling skills such as linear and logistical regression and general linear models.

Step 5: Data Visualization

Online data science training programs always include data visualization. This is because it is effective and easy to understand. This is an area you need to specialize in data analysis; I.e. qualitative and quantitative analysis.

You can choose an online course that teaches you charts; Such as bar chart, pie chart, waterfall chart, box plot, etc. Step 4: Python / R. With statistics

After gaining a detailed understanding of programming, proceed to the roadmap. This is learning to apply statistics with computer programming. One of the issues related to statistics with Python.

You select the Data Science Documentation option. Here, you will learn statistics with Python; Including Bayesian estimation techniques. After completing this data science course co-accumulation, you will be equipped with renowned modeling skills such as linear and logistic regression and generally famous linear model etc.