Data science involves the use of various techniques, processes and systems to extract valuable insights from data. To analyze complex datasets using data science computer science, statistics, mathematics, domain expertise and data engineering are combined.
Getting started in data science involves:
Mathematics fundamentals
Start by learning basic mathematics.
This includes linear algebra, calculus and statistics which is crucial for data analysis.
Programming.
Learn the basics of a programming language for data science. This can be either python or R programming language. In this roadmap I'll discuss python programming language.
Exploratory data analysis
After learning and understanding the basics, study libraries like Pandas and NumPy which are used for data analysis and manipulation.
Also explore data analysis and visualization tools and libraries like matplotlib and seaborne which will help you to effectively communicate your findings.
Machine Learning basics.
Learn the fundamentals of machine learning and common algorithms used for building predictive models and recommendations based on data.
Deep Learning.
Understand libraries such as TensorFlow and PyTorch if you're interested in neural networks.
Feature Engineering.
Understand how to extract meaningful features from raw data to build a better performing model.
Model building and Evaluation.
Familiarize yourself with machine learning libraries such as scikit-learn in python.
Build machine learning models and evaluate their performance. Also, understand cross validation techniques to ensure your model generalizes well.
Model Deployment
Learn how to deploy models to production for use in real world applications.
Projects
Work on projects in your areas of interest to practice the newly learned skills. This way you'll learn how to solve different kinds of real world problems.
Continuous learning
Keep up with the latest trends in data science by reading books, blogs and also taking online courses.
Network
Join data science communities, attend events and collaborate with others to learn and grow.
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