Python is an object-oriented programming language which has gained popularity because of its clear syntax and readability. Python is portable and its statements can be easily interpreted by several operating systems including Mac OS, Windows, Linux and other Unix-based operating systems. One of the important features of 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. Our unique class delivery plan engages our students effectively and enables them to understand the Python Analyticseasily.
Python is an object oriented programming language which can be used for developing complex web and desktop applications. Python also has analytical capabilities. With both its application development capability and analytical capability, Python stands out among other analytical tools such as R Programming or SAS. One can easily embed the analytics output to web or desktop application with the help of Python Web Frameworks. At Ampersand Academy, we offer training in both Core Python and Python Analytics. With these courses you will be able to do analytics and take analytical report in Web Applications.
Python is futuristic since there is huge community for Python Analytics. New algorithms are first designed and developed for Python Language when compared to other languages. Python has Machine Learning and Deep Learning Libraries.
Choosing a tool for performing analytics is still a tough call. Tools like R Programming and SAS are mainly focussed for Statistical People whereas Python is basically focussed for general purpose developers.
1. Introduction to Python Analytics:
Main take away of the course will be explained and the capabilities of Python will be explained 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.
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 how to iterate a array of data using various loops.
String is an important component in any programming language. You will learn how to use string and built-in string functions in Python.
7. List, Dictionary, Tuple:
List is array in Python. You will learn to create lists in Python. Dictionary is a key-value pair storage, which is equivalent to JSON format. Tuple is also like a List which is immutable. You will learn about Dictionary and Tuple in this section.
In this section, you will learn to write independent functions in Python Programming which includes 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 are class and object, how to create classes and objects, what are constructors, how to create constructor inside a class, how to create function inside class, and 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 inheritance concept. While one works with logic, there is a chance of getting logical errors, these errors will not appear during compilation rather they will appear only in run time. These run-time errors are called as exception. The exception will terminate a program abnormally. You will learn how to handle these exceptions without terminating the program abnormally.
11. Database Connection:
In this section, you will learn to connect to MySQL Database and how to pass custom MySQL queries using Python.
12. Reading Data:
Data available in various formats such as CSV, Spreadsheets, Text Files, JSON and Database, etc. You will learn how to read these file formats and make it as proper row and column structure using pandas and NumPy Libraries.
13. Custom Data Frames:
In this section, you will learn to create own data frame without reading data sources.
14. Data Cleaning and Data Transformation:
While reading data using pandas, the data is not in a suitable format to address business problems. We have to convert data to match our needs using data cleaning and data transforming techniques.
15. Unstructured to Structured Data:
We will not be getting data in structured data, in many instance we will get it in the format of logs and text formats. In this section, you will learn to convert these unstructured data to structured using pandas regular expression libraries with a sample project.
In this section, you will learn various available join types such as inner join, left outer join, right outer join, full outer join.
17. Grouping and Aggregation:
In this section, you will learn to group data and how to apply aggregation functions on the grouped data.
18. Data Visualization:
In this section, you will learn to create Bar, Pie Chart, Scatter Plot, Box Plot, Histogram using Matplotlib Library with real-time data.
In this section, the trainer will explain business problem statement and what are the various analytical solution for the same business problem statements. Data for the discussed business problem and the list of analytical questions will be shared.
20. Introduction to Machine Learning and Deep Learning:
In this section, you will be introduced to Machine and Deep Learning which is the next career step to Python Analytics.
We at Ampersand Academy offer the best training for Python Analytics in Chennai. We offer several modes of training for Python including classroom, online, corporate and academic training. We offer the best course curriculum for Python Analytics through which even a candidate from the non-IT background can easily learn and program in Python Analytics. Our training is full of practical sessions with few theoretical classes. We provide assignments, mini projects, and conduct assessments to make sure our students have understood the concepts we teach them.
Open source and cross-platform languages are the future. Having said that, Python is both open source and cross-platform language which is extensively used in web development and web application development, Analytics, Data Science and Deep Learning. Python is embodied with several libraries which enable it to be on the cloud, web application development, desktop application development, server utility, etc. Various positions that are offered for Python includes:
1. Business Analyst
2. Data Analyst
3. Data Engineer
4. Python Analyst.
1. Basic computer handling skills.
2. Drive towards Python Programming and Analytics.
Ampersand Academy is the best institute to learn analytics in Chennai. They focus mainly on analytics, data science and deep learning, which makes us the best training institute for Python Analytics.
At Ampersand Academy, we give number of projects for Python Analytics Students so that they get the best out of the training. If you are looking to get good knowledge working in various projects, Ampersand Academy gives the many number of projects for Python Analytics.
Trainers in Ampersand Academy have more than 10 years of experience in Analytics, Data Science and Deep Learning concepts. They impart great knowledge to Python Analytics students.