Data Analysis and Visualization with Python Training

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Upcoming Batches for Data Analysis and Visualization with Python

Dec, 28th

Saturday

6:00 AM to 10 PM IST

Dec, 29th

Sunday

6:00 AM to 10 PM IST

Jan, 4th

Saturday

6:00 AM to 10 PM IST

Jan, 5th

Sunday

6:00 AM to 10 PM IST

Not compatible with the above dates?

Data Analysis and Visualization with Python Course Details

ZX Academy’s data analysis and visualization with Python certification will allow you to learn the basics of data analysis with Python. In this course, you will also learn to read data from multiple sources. It includes CSVs and SQL With this training, you will able to use libraries like Seaborn, Numpy, and much more.

By joining ZX Academy’s data analysis and visualization with Python certification training, you will learn about data analyzing and visualizing. Here, we follow a systematic approach to make the training easy for you. Our teachers will educate you about the basics of data science and machine learning.

Data analysis and visualization with Python is one of the demanded programming languages. In this course, you will learn about the important libraries in terms of visualizing and analysing data. Moreover, you will get the resources to study python and use it to analyse & visualise data.

By joining our ZX Academy’s course, you will study how to program in Python and how to create and manipulate arrays with the help of Python and numpy. I will also explain to you how to use Pandas for data set creation, analysis, and much more.

Course Highlights

  1. Introduction

In this, we will cover all the basic concepts of this course. Our instructors will explain you the overview of course & python, Jupyter Notebook 101, Anaconda Distribution Installation, etc. Also, will explain Jupyter Notebook –how to add adding comments in cells.

2. Variables, Objects, and Data Types

Here, we will explain the overview of variables & objects, number, coding exercise solution, string operations, and much more. Also, will teach you about the Tuples & Sets, Booleans, Key Words in Python, etc.

  1. Loops and Control Flow

In this section, you will know about the Python Operators, control flow, loops, list comprehension, and much more. Also, will explain you the break, continue, & pass statements. 

  1. Functions

Here, you will learn about the built-in functions, user defined functions, and lambda functions. Also, will learn about the arguments & keyword arguments and errors & exception handling.

  1. Core Python

In this, you will explore the challenge questions that are challenge. Also, will walkthrough to solutions.

  1. Packages, Modules, and Libraries

Explore everything about built-in modules and external libraries.

  1. Numpy

Here, our trainers will teach you the overview of Numpy, array slicing & indexing, array manipulation functions, & additional array creation functions. Also, will teach you array arithmetic & mathematical functions and IO functions in NumPY.

  1. Pandas

In this section, you will learn about the pandas and get introduced to series &dataframes. Not only this, but also will learn about data manipulation, data aggregation & grouping, data cleansing, and much more.

What will you learn in Data Analysis and Visualization with Python course?

  • Data analysis libraries in Python like Pandas and NumPy and data visualization libraries in Python like Seaborn and Matplotlib.
  • Python3 and data visualization.
  • Anaconda Distribution/ Jupyter Notebooks IDE and method for data analyzation.

Who should take this Data Analysis and Visualization with Python training?

  • Python developers who are interested in data analysis libraries.
  • Individual interested in studying python.
  • People working with data.
  • Data analysts.
  • Python developers who are interested in data visualization libraries.

What are the prerequisites for Data Analysis and Visualization with Python training?

No specific knowledge areneeded.

Why should you go for Data Analysis and Visualization with Python training?

This course will help you learn the basics of python to prepare, discover, analyze, and develop data visualizations. You will become an expert in the data analysis and visualization libraries in Python. It includes Seaborn, Numpy, Matplotlib, Pandas, and much more. Also, will be able to convey perceptive scripts and make data-driven decisions.

 

 

Salary Trends:

The average annual salary of data analyst with machine learning is around Rs. 5 lakhs in India and $163,000 in USA.

Are you excited about this?

Data Analysis and Visualization with Python Curriculum

• Write computer programs using Python
• Save values using variables
• Process numerical data and text data
• Create lists using Python

• Use for loops to repeat processes and conduct data analysis
• Implement if, else, and elif statements in programming logic
• Employ logical and comparison operators in Python
• Develop and update Python dictionaries for data manipulation
• Construct frequency tables using dictionaries for data analytics

• Write Python functions
• Debug functions
• Define function arguments
• Write functions that return multiple variables
• Employ Jupyter notebook
• Build a portfolio project

• Clean and analyze text data
• Define object-oriented programming in Python
• Process dates and times

• Improve your workflow using vectorized operations
• Select data by value using Boolean indexing
• Analyze data using pandas and NumPy

• Visualize time series data with line plots
• Define correlations and visualize them with scatter plots
• Visualize frequency distributions with bar plots and histograms
• Improve your exploratory data visualization workflow using pandas
• Visualize multiple variables using Seaborn's relational plots

• Create graphs using information design principles
• Create narrative data visualizations using Matplotlib
• Create visual patterns using Gestalt principles
• Control attention using pre-attentive attributes
• Employ Matplotlib's built-in styles

Like the curriculum?

Projects on Data Analysis and Visualization with Python

  1. Data Cleaning

It is the process to identify and rectify errors, inaccuracies, and inconsistencies in the data. This project includes data cleaning and preparing it to analyse. In this, you will be working with chaotic data sets and find out the missing values. Also, will manage outliers and delete the duplicated. Not only this, but also have to use Numpy and Panda libraries for data preprocessing and preparing it for analysis.

  1. Machine Learning Project

Machine learning is the process to develop models, which can make predictions depending on the data. In this project, you have to develop a machine learning model to foresee a result from the data set. Moreover, in this project, you will be using the Scikit-learn library for preprocessing the data. Not only this, but also needs to be divided it into training & test sets, and develop a ML model. Also, will analyse the performance of the model using different techniques and metrics.

Project Resources

Data Analysis and Visualization with Python Certification

It depends on how fast you learn the course. Our certification course is self-paced. So, you can complete it at your convenience.

Yes! You will receive the certificate once you finish this certification course. You can make use of this certificate to reveal your skills.

You will receive the link for registration to your mail id. Open the link and set up your passcode & sign up to our learning experience platform.

Yes! ZX Academy’s data analyst certification training will give you the facility to finish the course as per your convenience.

Get certification or Get ahead with Zx Academy’s Certification or

Faq’s for Data Analysis and Visualization with Python

Yes. Data visualization is a key part of machine learning. This training is good for those who want to develop the career in data science. Our teachers will help you learn everything about data science.

This arranges the data into an understandable format. It also shows the outliers and trends & help in presenting the data.

As of now, there are several roles available for a certified data analyst with python. It includes data scientist, ML engineer, market analyst, data engineer, data architect, and business IT analyst.

Python is flexible and easy to learn. It is an open-source framework and can be used in developing desktop and web apps. Also, is used in developing difficult scientific and numeric apps.

ZX Academy’s data analysis certification training will help you learn the basic concepts of data visualization. Our tutors will help you develop your skills in Python to work on machine learning and data science tasks. Also, is useful to develop Python skills to work with data visualization.

Yes! We provide the flexibility to join our multiple courses at the same time.

ZX academy is an amazing platform, which provide self-paced courses in several domains. Learners can get benefits from our courses in their professional careers. With this data analysis course, you will explore about Python and how to present & compare data.

• Downloading &analyzing data programmatically.
• Data visualization.
• Machine learning, its algorithms, and implementation.
• Techniques to manage different types of data.
• Python notebooks.
• Time series and the concepts related to it.

Assignments and case studies has to be done using Jupyter Notebook platform. The platform will be already installed on your Cloud LAB. You can access this from a browser. The credentials are on your LMS. If any doubt on this, contact us.

Yes! We provide the flexibility to learn our course at your convenience. Moreover, if you have any doubts, you can contact us.

Yes! We provide access to the study materials so that you can brush up your skills when needed.

Reviews

Data Analysis and Visualization with Python rated (5.0 / 5) based on 1 reviews.

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5
I strongly recommend that my friends join this Zx academy. People who are eagerly waiting to get knowledge of data analysis and visualization with Python and get placed in the same field should contact it once and get joined.

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