Training Language: English, தமிழ்
Become a Data Analyst with our in-depth Python Analytics Training in Chennai
We offer comprehensive one-on-one, corporate, academic training for Python with Analytics through online and classroom modes.
Request for Demo!
About Python Analytics
Python is an object-oriented programming language that has gained popularity because of its clear syntax and readability. Python is portable, and its statements are easily interpreted by several operating systems, including Mac OS, Windows, Linux and other Unix-based operating systems. One of the essential features of the Python language is that all the source statements are indented, which makes it more readable when compared to other programming languages. Furthermore, Python has dynamic data types, readily available classes and interfaces to several calls and libraries. Python is capable of handling Data Analytics, Data Science and Deep Learning. Ampersand Academy offers one of the best training for Python Analytics training.
What do we cover in
Python Analytics Training?
Here is the brief list of topics that we cover
as a part of the Python Data Analytics training
1. Introduction to Python Analytics
The main takeaway of the course will be explained, and the capabilities of Python will be described using a business problem.
2. Python and PyCharm Installation
You will learn how to install Python and PyCharm IDE on Windows and Mac. Also, you will be learning how to run a sample Python program.
3. Variables and Data Types
You will learn to create variables, various data types available in Python.
4. Operators
You will learn various available operators in Python such as arithmetic, relational, logical, etc.
5. Control Statements and Loops
You will learn how to write a decision-making program using Python. You will also learn to iterate an array of data using various loops.
6. Strings
The string is an essential component in any programming language. You will learn how to use string and built-in string functions in Python.
7. List, Dictionary, Tuple
The list is an array in Python. You will learn to create lists in Python. Dictionary is key-value pair storage, which is equivalent to JSON format. A tuple is also like an immutable List. You will learn about Dictionary and Tuple in this section.
8. Functions
In this section, you will learn to write independent functions in Python Programming, including various concepts such as function with parameter, call by reference, call by value, variable-length argument, lambda functions.
9. Classes, Objects and Constructors
In this section, you will learn what class and object are, how to create classes and objects, constructors, generate constructors inside a class, generate function inside a class, and the difference between class function and independent function.
10. Inheritance and Exception Handling
You will learn how to inherit the property of a class to another class using the inheritance concept. While one works with logic, there is a chance of getting logical errors; these errors will not appear during compilation. Instead, they will appear only in run time. These run-time errors are called an exception. The exception will terminate a program abnormally. You will learn how to handle these exceptions without closing the program abnormally.
11. Database Connection
This section will learn to connect to MySQL Database and pass custom MySQL queries using Python.
13. Custom Data Frames
This section will learn to create your data frame without reading data sources.
12. Reading Data
Data are available in various formats such as CSV, Spreadsheets, Text Files, JSON and Database, etc. You will learn to read these file formats and make them proper row and column structures using pandas and NumPy Libraries.
14. Data Cleaning and Data Transformation
While reading data using pandas, the data is not suitable for addressing business problems. We have to convert data to match our needs using data cleaning and transforming techniques.
15. Unstructured to Structured Data
We will not be getting data in structured data; in many instances, we will get it in logs and text formats. This section will learn to convert these unstructured data using pandas regular expression libraries with a sample project.
16. Join
This section will learn various available join types: inner join, left outer join, right outer join, and full outer join.
17. Grouping and Aggregation
In this section, you will learn to group data and apply aggregation functions to the grouped data.
18. Data Visualization
This section will learn to create Bar, Pie Chart, Scatter Plot, Box Plot, and Histogram using Matplotlib Library with real-time data.
19. Project
In this section, the trainer will explain the business problem statement and the various analytical solutions for the same business problem statements. Data for the discussed business problem and the list of analytical questions will be shared.
Download Python Analytics Course Curriculum
Get our Python Analytics Curriculum in your mailbox.
Why you should learn Python Analytics in Ampersand Academy
Learn why you should choose us to learn Python Analytics. Here are a few of the reasons:
Classroom Training
We offer Python Data Analytics Training through classroom mode where personal face-to-face interaction with the trainer happens. In the wake of Covid-19, we are strictly following only one-on-one and appointment-based classes. Furthermore, our trainers are fully vaccinated, and we follow all Covid-19 guidelines for the safety of both students and trainers.
Online Training
We offer one-on-one or batch training to our students online, which works through Google Meet. Our online Python training program is also trainer-led, where we handle both domestic and international students who wish to learn Python. The students from Chennai also can mix the classes both online and classroom subject to the trainer's availability.
Academic Training
We offer Python Analytics to college students where our trainers visit the institution and conduct classes for the students. We can customize the Python Analytics Training program for Colleges or Universities based on preferences such as Workshops, Seminars and Semester-wide programs.
Corporate Training
We offer Python training to the corporates through visiting their office premises, or their professionals can take up a classroom or online training based on their preferences. We also do on-job mentoring for the corporates if required. Even the customization of course curriculum based on their specific requirement is possible.
Scope of Python Analytics
Various positions offered for Python Analytics
- Business Analyst
- Data Analyst
- Data Engineer
- Python Analyst.
Prerequisite to join Python Analytics Course
- Basic computer handling skills.
- Drive towards Python Programming and Analytics.
