Tools required for Data Science:
1. MATLAB: a platform to process math information. Can be used to stimulate neural networks.
2. JUPYTER: Write live code, visualizations, and presentation. Supports python Julia and R.
3. NTLK: Natural language toolkit widely used for language processing comes with python
4. TENSORFLOW: Standard tool for ML. Use to build models easily using intuitive high-level APIs
5. EXCEL: most commonly used data analysis tool. Use it for Data Processing and complex calculation.
6. TABLEAU: Data visualization software. Connect to almost any database and create data viz.
7. APACHE SPARK: Most used data science tool Extremely powerful for large-scale data processing.
8. BIGML: simplifies machine learning and makes it easy for beginners. Build models in 3-4 clicks.
9. D3.js: Create interaction data visualizing. JS library for visulizng data with HTML, SVG, and CSS.
