Next Level Python in Data Science covers the essentials of using Python as a tool for data scientists to perform exploratory data analysis, complex visualizations, and large-scale distributed processing on “Big Data”. In this course we cover essential mathematical and statistics libraries such as NumPy, Pandas, SciPy, SciKit-Learn, frameworks like TensorFlow and Spark, as well as visualization tools like matplotlib, PIL, and Seaborn.
This course is ‘intermediate level’ as it assumes that attendees have solid data analytics and data science background and have basic Python knowledge. Topics are introductory in nature, but are covered in-depth, geared for experienced students.
Course Topics Covered: Throughout the course, students will learn about and explore:
Skills-Focused, Hands-On Learning: This course is about 50% hands-on lab to 50% lecture ratio, combining engaging instructor presentations, demos and practical group discussions with extensive machine-based student labs and project work. Throughout the course students will learn to write Python scripts and apply them within a scientific framework working with the latest technologies listed in the agenda.
This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development. Working in a hands-on learning environment led by our expert practitioner, students will learn:
This course is geared for experienced data analysts, developers, engineers or anyone tasked with utilizing Python for data analytics tasks. Attending students are required to have a background in basic Python development skills.
Session: Python for Data Science
Lesson: Python Review (Optional)
Lesson: iPython
Lesson: numpy
Lesson: scipy
Lesson: A tour of scipy subpackages
Lesson: pandas
Lesson: matplotlib
Lesson: The Python Imaging Library (PIL)
Lesson: seaborn
Lesson: SciKit-Learn Machine Learning Essentials
Lesson: TensorFlow Overview
Session: Python on Spark
Lession: PySpark Overview
Lesson: RDDs and DataFrames
Lesson: Spark SQL
Lesson: Spark MLib
Lesson: Spark Streaming
Student Materials: Each student will receive a Student Guide with course notes, code samples, software tutorials, diagrams and related reference materials and links (as applicable). Our courses also include step by step hands-on lab instructions and and solutions, clearly illustrated for users to complete hands-on work in class, and to revisit to review or refresh skills at any time. Students will also receive the course environment software and set up files, project files (or code, if applicable) and solutions required for the hands-on work.
Live scheduled classes are listed below or browse our full course catalog anytime
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Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.
Course Title | Days | Date | Time | Price | |
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Next Level Python for Data Science / Intermediate | Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More | 5 Days | Mar 29 to Apr 2 | 10:00 AM to 06:00 PM EST | $2,595.00 | Register |
Next Level Python for Data Science / Intermediate | Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More | 5 Days | May 10 to May 14 | 10:00 AM to 06:00 PM EST | $2,595.00 | Register |
Next Level Python for Data Science / Intermediate | Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More | 5 Days | Jul 12 to Jul 16 | 10:00 AM to 06:00 PM EST | $2,595.00 | Register |
Next Level Python for Data Science / Intermediate | Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More | 5 Days | Sep 13 to Sep 17 | 10:00 AM to 06:00 PM EST | $2,595.00 | Register |
Next Level Python for Data Science / Intermediate | Working with NumPy, Pandas, SciKit Learn, SciPy, Spark, TensorFlow, Streaming & More | 5 Days | Nov 1 to Nov 5 | 10:00 AM to 06:00 PM EST | $2,595.00 | Register |
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