The first step while starting the Data Science Journey is to get familiar with a programming language. There are tons of resources and links out there, but often we get confused on which resources to follow. Don’t worry, I have got you covered. I have attached the links to several YouTube channels, blogs, courses, and other websites that are appropriate for a beginner
Having knowledge of statistics and probability is as essential as having salt in food
Knowing them will help the data scientists interpret large data sets, get insights, and analyze them better
- Statistics provides the ideas about mean, median, mode, range, Variance, Standard Deviation, Graphs or Plotting, Populations, and Samples.
Exploratory data analysis
The data scientist has many tasks, including finding data patterns, analyzing data, finding the appropriate trends in the data and obtaining valuable insights, etc., from them with the help of various graphical and statistical methods
- Data Analysis using Pandas and Numpy
- Data Manipulation
- data Visualization
- Machine Learning
- It is the most crucial step in a life cycle of a data scientist where one has to build various models using machine learning algorithms and should be able to predict and come with the most optimum solution to solve any problem
Using these platforms
Start by downloading the datasets, analyzing the data, and implementing all the different techniques you have learned
- Check on other people’s notebooks and understand how they have solved a particular problem or gained insights
- After you are confident enough, you can participate in Competitions organized by both Kaggle and Analytics Vidhya
