Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn the tools to become a Data Scientist with hands-on training and mentoring from industry experts. Analyze data with Python, create machine learning models and interactive visualizations, and query databases with SQL.
Learn how to manipulate databases and perform data analysis in this beginner-friendly program, which will prepare you for entry-level data science and Python engineering positions. Data science careers regularly rank among today's best and highest-paying jobs.
Learn Python programming fundamentals and how to use its main data science libraries to analyze data. Read and write complex database queries, prepare and clean data for analysis, and use Python to automate everyday tasks such as aggregating, updating, and formatting data.
Use your data to build machine learning models and evaluate their performance. Clean and balance your data with Pandas, apply machine learning algorithms with the scikit-learn library to solve real-world problems, and analyze the results to detect areas for improvement.
Build and present dynamic dashboards and other data visualizations. Learn to use Python's major plotting and dashboard libraries Matplotlib, Seaborn, Plotly, and Dash Enterprise. Deploy your projects online with Github to demonstrate your analytical abilities to employers.
Noble Desktop is today’s primary center for learning and career development. Since 1990, our project-based classes and certificate programs have given professionals the tools to pursue creative careers in design, coding, and beyond.
Companies rely on data to help identify challenges, capitalize on opportunities and make timely business decisions that could materially affect their bottom line.
PL-300: Microsoft Power BI Data Analyst course is designed for learners who enjoy analyzing data and using Power BI to unlock meaningful data insights.
This PL-300 Microsoft Power BI Data Analyst training course will help you learn the diverse methods and most promising practices in line with technical and business requirements for analyzing, modeling, and visualizing data with Microsoft Power BI.
Statistical computing is employed within a diverse range of industries. In recent years, an open source project, R, has emerged as the preeminent statistical computing platform. With its unsurpassed library of freely available packages, R is capable of addressing almost every statistical inference ...
This course is intended as a continuation of our introductory-level courses PL-300: Microsoft Power BI Data Analyst and/or Excel BI Tools: Power BI for Excel Users in Power BI.
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