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Home / Courses / Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876)

Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876)

Next Level Python for Data Science and /or Machine Learning 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,...

  • 4.6 out of 5 rating
  • Last updated : 21/01/2026
  • English

Available as Instructor Led Training, Live Online & In Person at your Offices or Ours.

Intermediate Python for Data Science & Machine Learning | Explore NumPy, Pandas, SciKit Learn, SciPy, TensorFlow & More (TTPS4876)
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Duration:

40.00 hours

32.5 CPD hours

Overview:

Next Level Python for Data Science and /or Machine Learning 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, TensorFlow, 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

Description:

Next Level Python for Data Science and /or Machine Learning 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, TensorFlow, 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
DURATION 1 Day

No upcoming local classes scheduled.

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Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable.

To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.