Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains.
In turn, these systems generate insights which analysts and business users can translate into tangible business value.
Book description
- Master Data Analytics Hands-On by Solving Fascinating Problems You’ll Actually Enjoy
Why there’s a demand for Data Scientists?
Data is being generated day by day at a massive rate and in order to process such massive data sets, Big Firms, Companies are hunting for good data scientists to extract valuable data insights from these data sets and using them for various business strategies, models, plans
What you should know as a Data Scientist
- Learn Python
- Learn Statistics
- Data Collection
- Data Cleaning
- Acquaintance With EDA( Exploratory Data Analysis)
- Machine Learning & Deep Learning
- Learn Deploying of ML model
- Real-World Testing
- Exploring and Practicing datasets on Kaggle, Analytics Vidhya
- Analytical Curiosity
- Non-Technical Skills
