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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
- 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.
- 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.
- 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.
- Core Python
In this, you will explore the challenge questions that are challenge. Also, will walkthrough to solutions.
- Packages, Modules, and Libraries
Explore everything about built-in modules and external libraries.
- 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.
- 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
• Save values using variables
• Process numerical data and text data
• Create lists using Python
• 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
• Debug functions
• Define function arguments
• Write functions that return multiple variables
• Employ Jupyter notebook
• Build a portfolio project
• Define object-oriented programming in Python
• Process dates and times
• Select data by value using Boolean indexing
• Analyze data using pandas and NumPy
• 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 narrative data visualizations using Matplotlib
• Create visual patterns using Gestalt principles
• Control attention using pre-attentive attributes
• Employ Matplotlib's built-in styles
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Projects on Data Analysis and Visualization with Python
- 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.
- 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
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Faq’s for Data Analysis and Visualization with Python
• 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.