Data Scientist

Overview

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.

Required Education

• Bachelor's degree

Key Skills

• ● Python Programming
• ● Data Analysis (Pandas, NumPy)
• ● Machine Learning (Scikit-learn)
• ● Data Visualization (Matplotlib, Seaborn)
• ● SQL & Database Management
• ● Statistical Analysis
• ● Big Data Tools (Hadoop, Spark)
• ● Business Intelligence

Training Programs

• Data Science Bootcamp (e.g., DataCamp, Springboard)
• Machine Learning Specialization (Coursera)
• Data Engineering Certification (AWS, Google Cloud)
• Python for Data Science (DataCamp)
• SQL and Database Management
• Big Data Technologies (Hadoop, Spark)
• Data Visualization (Tableau, Power BI)
• Statistical Analysis and Mathematics
• Deep Learning Specialization
• Cloud Data Platforms (AWS, Azure, GCP)

Next Steps

• ✓ Learn Python and basic statistics
• ✓ Complete a data analysis project (see GitHub ideas)
• ✓ Take an online course (Coursera, edX, or Khan Academy)

Salary Range

Annual: $64.27, Hourly: $133690

Job Outlook

We predict the employment for this job to increase by 33% in California. We predict the employment for this job to increase by 36% in United States.

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