Data Analysis & Visualisation with Python
Build your career with Data Analysis & Visualisation
Build your career with Data Analysis & Visualisation
Overview
Requirements
Material
Overview
Develop demo your data science abilities by becoming proficient in Python data visualization. You will learn how to use the most well-liked and reliable Python data visualization tools to build stunning static and interactive displays of geographic, grouped, and categorical data with our course and evaluation. You’ll gain the confidence to use Python to build your own data visualizations as you progress by learning the fundamental skills needed to produce educational representations that highlight your data. In a variety of sectors, including banking, education, healthcare, retail, and more, data visualization is quickly becoming an important skill. This course will assist you in gaining useful Python data visualization skills that you can use in a variety of data-driven positions to use your data to create stories.
Projects that you are going to design!
Key Points of Training Program
Food Delivery Cost and Profitability Analysis
The assessment is with the goal of comprehending and improving the financial dynamics of a food delivery business. Finding areas where the service may cut expenses, boost income, and apply commission or pricing schemes that improve profitability is the aim.Cohort Analysis
Data analysis method used to learn more about the traits and behavior of particular user or customer groups over time.Stock Market Comparison Analysis
The method of assessing and contrasting the performance of several securities or equities on the stock exchange.Fitness Watch Data Analysis
This process examines the information gathered by these devices to learn more about the habits and health of its users. Metricslike walking pace, energy burned, steps taken, and more are tracked by these gadgets.UNIQUENESS OF THE COURSE
100% Practical Traning
Personal Attention
Limited batch size
100% Job Assistance
- Our curriculum is tailored to meet the needs of the industry.
- Trained by professionals with renown in the industry.
- Curriculum in accordance with international standards and rules.
- We offer the newest technology in a fully furnished lab.
- Complete Placement Support.
- Behavioral session for interview preparation focusing on soft skills.
- Cherry on the cake for this course, you will be required to work on one real project to experience the real corporate working atmosphere.
Requirements
- There is no prerequisite knowledge of Data Analysis & Visualisation with Python. Learning programming only requires passion, enthusiasm, and dedication.Since every piece of software offered is free, there’s no need to purchase any.
- A computer engineering degree is not required, however it does facilitate learning Data Analysis & Visualisation with Python more quickly.
- To obtain the necessary skills, you can enroll in ZestGeek Academy’s Data Analysis & Visualisation with Python course and earn a certification in web development.
- Obtaining a well-paying job will require you to showcase your skills through an impressive portfolio.
Material
OUR DATA ANALYSIS & VISUALISATION WITH PYTHON COURSE INCLUDE
MONTH 1
Core Python concepts
Introduction – data types, operators, input & print functions, IDE’s – IDLE & Jupyter Notebook
Control flow statements – for, while, if, break
Functions – Built-in and user defined
Basics of Object oriented programming – classes and objects, inheritance
Introduction to data analysis
What is data analysis
Standard process of data analysis
Importance of data visualization
MONTH 2
Multidimensional array object & fast operations on arrays ( Numpy)
Input/output
The N-dimensional array & array attributes
Indexing
Array creation routines
Array manipulation routines
Broadcasting & universal functions
Linear algebra
Statistics
Fast, Flexible & Expressive Data Structure (Pandas)
Input/output
Pandas Series & Dataframe
Attributes
Binary operator functions
Function application, Groupby
Computations, Descriptive stats
Missing Data Handling
Combining/ comparing/joining/merging
Plotting