This Python training is designed to teach you how to use Python for data analytics. With the vast amounts of data being generated each day, Python has become an essential tool for data analysts.
In this course, you will explore the latest Python tools and techniques for data acquisition and analysis, including scientific computing with NumPy and data visualization with matplotlib. Prerequisites for the course include a basic understanding of Python and data analytics.
The course is aimed at Python programmers who want to work with data analytics.
Training Duration: 2 Days
- Certificate Of Completion Available
- Group Private Class
- VILT Class Available
- SBL-Khas Claimable
In a world increasingly centralized around information technology, huge amounts of data are produced and stored each day. Often these data come from automatic detection systems, sensors, and scientific instrumentation, or you produce them daily and unconsciously every time you make a withdrawal from the bank or make a purchase, when you record various blogs, or even when you post on social networks.
Python and its supporting packages are one of the famous tools in dealing with Data Analytics. This is the course to guide you how to use Python in Data Analytics.
This course will let you explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You will review scientific computing with NumPy and visualization with matplotlib.- A basic understanding of Python language.
- A basic understanding of Data Analytics will be an added advantage.
This course is mostly for Python programmers who want to deal with the Data Analytics.
Module 1 - An Introduction to Data Analysis
- Data Analysis
- Knowledge Domains of the Data Analyst
- Understanding the Nature of the Data
- The Data Analysis Process
- Quantitative and Qualitative Data Analysis
- Open Data
- Python and Data Analysis
Module 2 – Introduction to the Python World- The Language
- Python 2 and Python 3
- The IDEs for Python
- Packages for Data Analysis
Module 3 – The NumPy Library- The History
- Ndarray: The Heart of the Library
- Basic Operations
- Indexing, Slicing, and Iterating
- Conditions and Boolean Arrays
- Shape Manipulation
- Array Manipulation
- General Concepts
- Structured Arrays
- Reading and Writing Array Data on Files
Module 4 – The Pandas Library—AnIntroduction- pandas: The Python Data Analysis Library
- Installation of pandas
- Testing Your pandas Installation
- Getting Started with pandas
- Introduction to pandas Data Structures
- Other Functionalities on Indexes
- Operations Between Data Structures
- Function Application and Mapping
- Sorting and Ranking
- Correlation and Covariance
- “Not a Number” Data
- Hierarchical Indexing and Leveling
Module 5 – Pandas: Reading and Writing Data- I/O API Tools
- CSV and Textual Files
- Reading Data in CSV or Text Files
- Reading and Writing HTML Files
- Reading Data from XML
- Reading and Writing Data on Microsoft Excel Files
- JSON Data
- The Format HDF5
- Pickle—Python Object Serialization
- Interacting with Databases
- Reading and Writing Data with a NoSQL Database: MongoDB
Module 6 – Pandas in Depth: Data- Manipulation
- Data Preparation
- Concatenating
- Data Transformation
- Discretization and Binning
- Permutation
- String Manipulation
- Data Aggregation
- Group Iteration
- Advanced Data Aggregation
Module 7 – Data Visualization with matplotlib- The matplotlib Library
- The IPython and IPython QtConsole
- The matplotlib Architecture
- pyplot
- The Plotting Window
- Using the kwargs
- Adding Elements to the Chart
- Saving Your Charts
- Handling Date Values
- Chart Typology
- Line Charts
- Histograms
- Bar Charts
- Pie Charts
- Advanced Charts
- The mplot3d Toolkit
- Multi-Panel Plots
PTN-107: Artificial Intelligence, Data Science and Machine Learning with Python
The PTN-107: Artificial Intelligence, Data Science and Machine Learning with Python training program discuss the latest machine learning algorithms while also covering the common threads that can be used in the future for learning a wide range of algorithms. This Python course is a complete package that will help learners build their Python coding skillsets to meet the demand of the ML-AI industry which is growing by leaps and bounds in recent years.
PTN-108: Advanced Python Scripting
This 5-days Advanced Python Scripting training covers the language references, explains object-oriented as well as functional programming techniques, error handling, modules, many of the Python libraries, and best practices. All concepts are explained through hands-on examples and exercises. The participants would be learning by doing. Even though the name of this Python course is Advanced Python Scripting, it covers from basic to advanced.
What is data analytics with Python?
Data analytics with Python is the process of analyzing data using the Python programming language. It involves using Python libraries and tools to extract insights from large data sets.
Why should I learn data analytics with Python?
Python is a popular programming language for data analytics because it is easy to learn, has a large community of users, and has a vast collection of libraries and tools for data analysis. By learning data analytics with Python, you can gain valuable skills for a career in data analysis or use data analytics to gain insights in your personal or professional life.
What are the job prospects for someone with data analytics with Python skills?
The demand for data analysts with Python skills is growing rapidly in many industries, including finance, healthcare, marketing, and technology. Jobs that require data analytics with Python skills can include data analyst, data scientist, machine learning engineer, and business intelligence analyst.
Are you looking to take your career to the next level? Python training and certification can be the perfect way to give your resume a competitive edge and open up new opportunities in the tech industry.
Python is a popular and powerful programming language that is widely used in a variety of industries, including finance, data analysis, and web development. With its versatility and growing demand, investing in Python training and certification can be a valuable asset for professionals looking to advance their careers.
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Join the ranks of top professionals and learn Python with our expert-led training and certification courses today.