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    Here are the recommendations:
    12-Week Immersive Data Science Bootcamp
    Class Level:
    Intermediate
    Duration:
    420 hours
    Subjects:
    R, Python, SQL, Machine Learning, Hadoop, Spark
    Pre-Requisites
    A Bachelor's degree in Science, Technology, Engineering, or Math or equivalent experience in one of these fields
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    Upcoming Session:
    TBD
    What Will I Learn?
    Use R, Python, and Hadoop to load, save, and transform data as well as to write functions, generate graphs, and fit basic and complex statistical models to data.
    Apply practical tools and techniques to the process of data analysis
    Analyze and build solutions for business and industry problems using real datasets
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    Deep Learning
    Class Level:
    Intermediate
    Duration:
    30 hours
    Subjects:
    Python, Deep Learning
    Pre-Requisites
    Knowledge of object-oriented programming, ideally Python, and simple shell commands
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Build Deep Learning models in TensorFlow and Keras
    Understand the language and theory of Artificial Neural Networks
    Excel across a broad range of computational problems including Machine Vision, Natural Language Processing and Deep Reinforcement Learnin
    View Course Details
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    Data Science with Tableau
    Class Level:
    Introductory
    Duration:
    20 hours
    Subjects:
    Tableau, Data Visualization
    Pre-Requisites
    Know how to use Mac, Windows. Familiarity with relational databases will be nice but not required.
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Understand which visualizations best express a particular insight
    Construct advanced visualizations such as tree maps, sunburst diagrams, and geo-mapped data
    Wisely offer insight through visual dashboards constructed using principles such as the golden
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    Big Data with Hadoop and Spark
    Class Level:
    Beginner
    Duration:
    30 hours
    Subjects:
    Python, Hadoop, Spark
    Pre-Requisites
    Familiar with Linux file systems, Linux command line interface, and basic Linux commands. Knowledge of Python
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will learn key components of Apache Hadoop: HDFS, MapReduce with streaming, Hive, and Spark.
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    Data Science with Python: Data Analysis and Visualization
    Class Level:
    Beginner
    Duration:
    20 hours
    Subjects:
    Python, Data Visualization
    Pre-Requisites
    Basic knowledge of data types and data structures, familiar with concepts of for/while loop
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will learn how to work with different data structures in Python and covers the most popular Python data analysis and visualization modules, including numpy, scipy, pandas, matplotlib, and seaborn.
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    Introductory Python
    Class Level:
    Introductory
    Duration:
    20 hours
    Subjects:
    Python
    Pre-Requisites
    Comfort with Windows, Mac or Linux environment and ability to install third party software
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will learn Python language basics such as list and string manipulation, control structures, simple data analysis packages, and modules for downloading data from the web.
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    Data Science with Python: Machine Learning
    Class Level:
    Intermediate
    Duration:
    20 hours
    Subjects:
    Python, Machine Learning
    Pre-Requisites
    Knowledge of Python. Able to munge, analyze, and visualize data in Python
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.
    View Course Details
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    Data Science with R: Data Analysis and Visualization
    Class Level:
    Beginner
    Duration:
    35 hours
    Subjects:
    R, Data Visualization
    Pre-Requisites
    Comfort with Windows, Mac or Linux environment and ability to install third party software
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will master the essential skills of processing, manipulating and analyzing data of various types, creating advanced visualizations, generating reports, and documenting your codes.
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    View Course Details
    Data Science with R: Machine Learning
    Class Level:
    Intermediate
    Duration:
    35 hours
    Subjects:
    R, Machine Learning
    Pre-Requisites
    Knowledge of R. Able to munge, analyze, and visualize data in R
    Show MoreShow Less
    Upcoming Session:
    TBD
    What Will I Learn?
    Students will be able to break down the mathematics behind major machine learning algorithms, explain the principles of machine learning algorithms, and implement these methods to solve real-world problems.
    View Course Details
    View Course Details

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