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• Activities and Societies: Student Government Association (Sga) Fraternity of Phi Gamma Delta (Fiji)
• Datacamp Portfolio: Https://Www.Datadamp.Com/Portfolio/Ryanjjackson1 Python is A Versatile Language Which Allows ME to Import, Clean, Manipulate, and Visualize Data—All Integral Skills for Any Aspiring Data Professional or Researcher. Starting with the Python Essentials for Data Science, i Worked MY Way Through Interactive Exercises That Tested MY Abilities. Hands-On with Some of the Most Popular Python Libraries for Data Science, Including Pandas, Seaborn, Matplotlib, Scikit-Learn, and Many More. As i Progressed, i Worked with Real-World Datasets to Learn the Statistical and Machine Learning Techniques i Needed to Perform Hypothesis Testing and Build Predictive Models. i Also Got an Introduction to Supervised Learning with Scikit-Learn and Applied MY Skills to Various Projects.
• Data Science is A Complex and Dynamic Field, and One in Which Individuals with the Right Mix of Skills are Likely to Remain in High Demand. Through the Graduate Program in Data Science, You will Master the Technical, Analytical, and Practical Skills You Need to Solve Real-World, Data-Driven Problems. In the Master’S Degree Program in the Field of Data Science, You Will: Develop an In-Depth Understanding of Data Science Methods in Predictive Modeling, Data Mining, Machine Learning, Artificial Intelligence, Data Visualization, and Big Data. Build the Skills to Explore, Analyze, Manage, and Visualize Large Data Sets Using the Latest Technologies. Apply Data Science and Analytical Methods to Address Data-Rich Problems from A Variety of Fields, Think Critically About Data, and Drive Decision Making. Develop the Skills for Quantitative Thought Leadership, Including the Ethical and Legal Dimensions of Data Analytics, as Well as Effective Communication and Collaboration.
• Activities and Societies: Leadership (Asb)