Data Science with Python Training

Overview

This course will introduce the learner to the basics of the Python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating CSV files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as group, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.

Course Highlights

• 40 Hrs Instructor Led Training
• 15 Hrs of Pre-recorded videos e-learning content
• Lifetime LMS Access
• 100% Practical Approach
• Labs and Practicals included

Course Options

• Self Paced Learning
• 15 Hrs of Pre-recorded videos e-learning content
• Life-time LMS Access
• 100% Practical Approach
• Labs and Practicals included

Project & Exercises

Complete Data Science with Python Projects Practical oriented projects and use-cases will help you experience how the skills learned will solve real-time problems. At least two projects. Assisted lab setup to practice skills.

Certification

Earn a TekSlate Data Science with Python Certification Upon completion of the training you'll be provided a course completion certificate which adds weightage to your resume and increases your chances of getting hired.

Benefits

• Certification Assistance
• Certification Sample Questions