Learn the Fundamentals
A good place to start your data science journey would be to learn math and statistics which are very important to the field of data science. Learning a Programming language such as Python or R is very essential as these are the industry standard for data science.
Data Manipulation and Analysis
Once you've gotten a grasp of the fundamentals, your next target should be learning about data manipulation and analysis using libraries like Pandas, NumPy, and SQL. Understanding data visualisation using libraries like Matplotlib and Seaborn are using very essential skills for a data scientist and data analyst to pocess.
Machine Learning Fundamentals
Once you've understood how to manipulate data, being able to use that data to train machine learning models is one of the skills a data scientist needs. Learn basic machine learning algorithms (e.g., regression, classification, classification, clustering) and techniques.
While understanding model evaluation and validation.
Advanced Machine Learning
Once you are comfortable working with the fundamental algorithms and techniques of machine learning. A Deeper dive into machine learning algorithms and techniques (e.g., ensemble methods, deep learning, natural language processing, computer vision) is the best next step. While exploring model tuning and optimization.
Big Data and Cloud Computing
Data scientist generally work with large data sets, so familiarizing yourself with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
Working on Projects
With all this knowledge obtained, it only makes sense to test your mastery by delving into real world projects to gain experience. Showcasing these projects on public repositories on GitHub or a personal portfolio.
Domain Specialization
After working on several personal projects, you get the sense of what aspects of data science you do best or love best you can decide to specialize in one these domains.
Stay Updated
Keep up with the latest trends, advancements and technologies in data science as the field of data science is a relatively new field and technology advancement is fast paced.
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