Many people who get interested in learning data science don't really know what it's all about. They start coding just for the sake of it and on first challenge or problem they can't solve, they quit.
By Bahati Mulishiabout a year ago in Geeks
Top 10 basic programming concepts 1. Variables: Variables are used to store data in a program, such as numbers, text, or objects. They have a name and a value that can be changed during the program's execution.
By Bahati Mulishiabout a year ago in Education
Week 1: C++ Basics *Day 1-2:* - Day 1: Install a C++ compiler (e.g., Visual Studio, Code::Blocks, or g++) and write your first "Hello, World!" program.
1. Learn Fundamentals:Β Use W3Schools, FreeCodeCamp, or MDN for solid basics. 2. Watch and Code Along:Β Follow YouTube tutorials to code in real-time.
Most Important Mathematical Equations in Data Science! 1οΈβ£ Gradient Descent: Optimization algorithm minimizing the cost function.
Use this checklist to see if youβre truly JOB-READY. The more items you complete, the closer you are to landing your dream data science job! π
1. Set Clear Goals: Β Β - Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
Essential Data Analysis Techniques Every Analyst Should Know 1. Descriptive Statistics: Understanding measures of central tendency (mean, median, mode) and measures of spread (variance, standard deviation) to summarize data.
