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Are you interested in pursuing a career in data science but don't know where to start? Look no further! In this post, we'll cover the major topics that every beginner in data science should learn to kickstart their journey.
1. Statistics:
Statistics is the backbone of data science. It helps us make sense of the data by providing tools and techniques to analyze and interpret it. As a beginner, you should focus on learning the following topics:
- Descriptive statistics (measures of central tendency and dispersion)
- Probability theory (conditional probability, Bayes' theorem)
- Statistical inference (hypothesis testing, confidence intervals)
- Regression analysis (simple and multiple linear regression)
2. Programming:
Data scientists need to be proficient in at least one programming language. Python and R are the most popular languages in the field due to their powerful data analysis libraries. Start by learning the following topics:
- Python or R programming language
- Data structures (lists, arrays, data frames)
- Control structures (if-else statements, for loops)
- Functions and modules
- Data manipulation libraries (Pandas, Tidyverse)
- Data visualization…
