▶️Learning path for data science tools and algorithm
▶️Learn resources for data science
▶️Build Data science Portfolio
▶️Data science resume Building
▶️Apply for data science jobs
Steps to follow👇
Learning Path for data science tools and algorithm
⭐Continuing the #DataScience learning path series and next skill is Python
⭐There always been a debate around R v/s Python
⭐Step by step learning path for Python for data analysis
1⃣ Intro to Python -
⭐Installing and Setting up environment
⭐Install Anaconda and Python
⭐Launch a Jupyter Notebook
⭐Variables and Operators
⭐Booleans and Comparisons
⭐expressions and statements
2⃣ Basics of Python -
⭐Functions, Modules and strings
⭐Lists, Tuples, Sets, and Dictionaries
⭐Installing a Package (Pandas, Scipy, NumPy,Plotly etc.)
There are 2 kind of skills needed in any job. 1. Hard skills 2. Soft skills
Data science is no different and require hard and soft skills as equal in any of the industry.
Few of the skills needed in Data Science.
Check it here 👇
⚙️ Hard Skills
💡 Programming and Specific tools skills (R, Python, SAS etc.)
💡 Algorithm, Mathematics, Statistics and Probability knowledge
💡 End to end data science project life cycle(Gathering, Cleaning, Preparing, Modelling and presenting)
💡 Upgrading to new technologies
🔣 Soft skills -
💡 Effective Communication
💡 Business acumen and knowledge
💡 Curiosity and Critical thinking
💡 Intuition
💡 Problem solving
💡 Presentation/storytelling
💡 Awareness/research
💡 Flexibility
💡 Time management
💡 Attention to detail
💡 Networking