LIVE ONLINE INTERACTIVE TRAINING
PYTHON FOR DATA ANALYSIS
Python for Data Analysis & Visualization is a constructive course where you learn to use Numpy arrays or pandas Data Structures like Series or DataFrame to handle enormous amount of raw data.
Data Analytics in Python covers the essential data analysis and manipulation techniques using libraries like Numpy and Pandas. After resizing or reshaping the significant data you learn to prepare useful insights using useful Python libraries like Matplotlib, Seaborn etc.This program will help you to do elemental to intermediate analysis and creating visualizaton based on the data turned into required information.
In this course, you will study how to perform data reshaping, pivoting, munching and visualization before proceeding ahead and passing it to a data science algorithm.
Syllabus of Data Analysis using Python -
Click hereWhy use Python for Data Analytics?
Python has ranked top among the 10 most popular programming languages in 2018.
Top Tech Companies like Google, Microsoft, Youtube, Mozilla, Dropbox, Cisco and many more are using Python.
With its extensive libraries to work on Python is used to analysis and visualize the data, hence many of the MNC's use it for their data pre-processing stage which is later on fed to data science based algorithms or business processes.
Why learn Data Analysis using Python at Compufield?
Individual based training
Weekday / Weekend / Fast Track Sessions available
Hands-on training
Course duration is approximately 30 hours
Industry related training
What does a Data Analyst do?
Data analyst inspect, clean, transform and model the given raw data into effective reports made using organized and analyzed information.
They are also responsible for extracting data from primary or secondary data sources.
They decipher raw data and analyze the results by means of statistical techniques and provide ongoing reports.
In addition to this, they identify and interpret trends or patterns in available complex data sets thus generating meaningful insights from known data.
Who should learn Data Analysis & Visualizations using Python?
Novice Python developer who are curious about Data Science.
Anyone who want to make career in Data Science, Data Analytics.
Anyone interested in studying more about python, machine learning, or data visualizations.
Anyone wants to learn data analysis with python language.
Excel user who wants to upgrade data analytics skills.
What are the prerequisites for Data Analytics using Python?
Participants attending this training should be familiar with the fundamental concepts and implementation of
Core Python.
