Carnegie Training Institute - Numpy, Pandas and Others

Numpy, Pandas and Others Course

The secret in the crunching, manipulating and transforming data lies in the science encapsulated in Numpy and Pandas. In the Numpy sessions you will acquire technical skills in handling and manipulating data using multidimensional arrays, derived objects and an assortment of routines for fast operations on arrays including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.

Position Vacant

Instructor

Rating

Price

KES 15,000.00

Join the Class

Offering skills in multidimensional arrays and matrix data structures it targets users from beginning coders to experienced researchers doing state-of-the-art scientific and industrial research and development. You will gain high-quality statistics training from top industry practitioners.

In the Pandas sessions, you will acquire the fundamental skills necessary for data analysis. You will understand the various pandas data structures and be comfortable manipulating data using those data structures. You will learn all the foundations of pandas relevant to data analytics and data science. You will move from zero to hero in two weeks.

Requirements

Needed For Course Admission

Ability to study online
Critical thinking skills
Planning Skills
Communication Skills
Online Application
Have stable internet connectivity
Have a laptop (core i5 upwards, 8GB RAM, 500GB Hard-disk)
Student registration fee of KES 2,500.00

Learning

Value for Your Money

Introduction to Numpy
Numpy Shape Manipulation
Numpy Copy and Views
Numpy Functions and Methods
Advanced Indexing Using Numpy
Introduction to Pandas
Pandas Idioms
Pandas Data Structures
Operations in Pandas
Time Series

Are you looking for a practical and locally contextualized data science learning path? We are proud to say that our program has been designed to propel your career growth, personal ambitions and progress as well as to strengthen your technical skills and confidence in acing employment interviews while solving local socio-economic and business problems thus creating the desired impact.