Python Programming Course
Hands-on Training to Program & Analyse Data with Python
Why Learn Python Programming?
- Average salary base for Python programming jobs is $123,743
- Python language is among the five most popular programming languages
- In India, the initial salary ranges between 3,00,000 – 8,00,000 INR
- There are 25,000+ monthly Python programming job openings
- Currently, there are 61,818 Job Postings for Python programming on Indeed
The Journey of a Data Scientist
Why Should You Take a Python Course?
Python language is one of the most popular programming languages which has seen a 10% increase in the number of users, year on year. It is the leading language used in the Data Science industry. According to Indeed, the average salary for a Python Developer is ₹5,00,785 per year in India.
Hackernoon suggests that Python Certification is one of the most desirable skills in the entire programming domain. By taking a Python course and learning Python Programming to take a Python Certification, you will pave a way to opportunities much larger than you ever had.
Who is this Python Course for?
- Freshers who wish to learn Data Science or Machine Learning
- Non-IT professionals who wish to switch to the Data Science Industry
- Computer Science graduates with weak programming skills
Our Python Course Enrollments Map
- Students 40% 40%
- Non-IT Professionals 40% 40%
- IT-Professionals 20% 20%
Our Python Course Syllabus & Details
A Perfect Curriculum to Learn Python Programming
- Python – Syntax
- Python – Variables and Datatypes
- Python – Numbers
- If..Else.. Statements
- For Loop
- While Loop
- Date & Time
- Packages and modules
- Reading a File
- Writing into File
- Class & Objects
- Python – Exceptions
- Regular Exp
- Environment Setup
- Database Connection
- Creating a New Database
- Creating Tables
- Insert Operation
- Read Operation
- Update Operation
- Join Operation
- Performing Transactions
- Array Creation
- Data Type Objects
- Data type Object (dtype) in NumPy
- Basic Slicing and Advanced Indexing
- Iterating Over Array
- Binary Operations
- Mathematical Function
- String Operations
- Linear Algebra
- Sorting, Searching and Counting
- Set 1 (Introduction)
- Set 2 (Advanced)
- Multiplication of two Matrices in Single line using Numpy in Python
- Creating a Pandas DataFrame
- Dealing with Rows and Columns in Pandas DataFrame
- Indexing and Selecting Data with Pandas
- Boolean Indexing in Pandas
- Conversion Functions in Pandas DataFrame
- Iterating over rows and columns in Pandas DataFrame
- Working with Missing Data in Pandas
- Working With Text Data
- Working with Dates and Times
- Merging, Joining and Concatenating
- Data visualization using Bokeh
- Exploratory Data Analysis in Python
- Data visualization with different Charts in Python
- Data Analysis and Visualization with Python
- Math operations for Data analysis
- Class, Object and Members
- Data Hiding and Object Printing
- Inheritance, examples of an object, subclass and super
- Polymorphism in Python
- Class and static variable in Python
- Class method and static method in Python
- Changing class members
- Constructors in Python
- Destructors in Python
- First-class function
- str() vs repr()
- str() vs vpr()
- Metaprogramming with metaclasses
- Class and instance attribute
- Barrier objects
- Timer objects
- Garbage collection
- Functions in Python
- class method vs static method in Python
- Write an empty function in Python – pass statement
- Yield instead of Return
- Return Multiple Values
- Partial Functions in Python
- First Class functions in Python
- Precision Handling
- *args and **kwargs
- Python closures
- Function Decorators
- Decorators in Python
- Decorators with parameters in Python
- Memoization using decorators in Python
- Python bit functions on int (bit_length, to_bytes and from_bytes)
Hands-on Python Course Assignments
Assignments increase the learning capabilities of the students & prepare them to execute practical tasks in a real-world scenario. Digital Vidya’s Python Programming Course assignments are created with an aim to provide the best possible practical exposure to the learner. These assignments are designed in a way that you can apply all your Python programming skills gained from your learning videos.
We make sure to take your Python programming skills reach the next level through these hands-on assignments. Each module is accompanied by a module assignment that makes sure you apply all that you learn.
Introduction to Python
The variables, data types and all kinds of operators (arithmetic, logical, comparison) will be introduced in this assignment.
Dive Deep into Python
The important data types of Python List, Dictionary etc will be covered in addition to conditional and iterative loops. Some aspects of data cleansing will also be covered.
Introduction to NumPy Library
NumPy is an important Python library for numerical/statistical operations and is of utmost importance in Data Science. Here you will be introduced to the Numpy Library.
Data Manipulation using Pandas Library - I
Data manipulation is critical to Data Science. This manipulation of data is done using Pandas library in Python. You will be introduced to Pandas, functions (iloc, tail, head, groupby, fillna, etc) which are most commonly used will be discussed here.
Data Manipulation using Pandas Library - II
This is the 2nd part of data manipulation using Pandas. You will be made to solve complex questions for manipulating data. You will build functions and apply those on the Pandas data frames which is practical and applicable.
Analyzing & Manipulating Data
Time series is a kind of data which is often found for analysis. Analyzing, manipulating and making sense out of this data is an outcome of this assignment.
Data visualization is an important part of Data Science. As we create stories/insights from the data, these stories/insights are shown through visualizations. This assignment will help to implement various visualizations using Matplotlib and Seaborn Python libraries.
Merge Multiple Datasets into One
Data comes from disparate sources and it is a common use case to join/merge/concatenate multiple datasets into one. This assignment will help you learn to merge/concatenate datasets using Python and also make your work on melting/changing dimensions of datasets by converting rows to columns and vice versa
Case Studies to Learn Python Programming
Case Studies develop theoretical knowledge and practical thinking skills of the participants. Through these case studies, a participant will be able to be in a better position to solve a problem at hand. Digital Vidya’s comprehensive case studies provide ample scope for the application of Python Programming along with delivering an extraordinary practical experience.
Python Programming Course Schedule
In-Depth Advanced Python Training
45+ Hours of Training Material
Lifetime Access of Training Material
24X7 Access to Q&A Forum
Python Course Assignments
14th Mar 2020 (Sat+Sun)
Python Course FeesInclusive of Taxes
Python Programming Tools That You Will Learn
Why Learn Python Programming ?
With self paced online course, you will be able to learn Python programming with top Python trainers from across the globe.
Top Python Programming Trainers Known Across the Globe
Get the best possible Python training from expert Python trainers
Our Python Course Advisers
Python Programming Certifications
Digital Vidya's Python Programming Certification
How to get this Certificate?
The participants will get a Python Programming Certificate issued by Digital Vidya on successful completion of all the assignments and projects.
Vskills Python Programming Certification
How to get this Certificate?
The participants will get a Python Programming Certificate issued by Vskills on successful completion of the course. (A nominal fee is involved.)
Start learning python programming immediately!
Our Python Course Student Reviews
It was a tremendous journey right from the beginning. A huge opportunity opened in front of us in the Data Science world.
Great experience. Easy and organized learning, great approach.
Digital Vidya gave me a comprehensive knowledge of Data science within a very short period of time.
Case studies and projects improved my skills and gave me the confidence to call myself a data scientist.
This course is best for beginners and it will give you complete exposure of every field of Data Science and Machine Learning.
It was a great experience. Got to learn many new things going on in the present industry.
Reviews of Expert Industry Leaders
Digital Vidya is doing a great job at bringing data analytics to the rest of the world!
Akshay Sehgal, General Manager
Digital Vidya is doing a great job of bringing people from diverse set of experiences to one platform for creating the best of Data Science skill pipeline.
Ambuj Kathuria, Head – Data & Analytics
Creating a talent pool in India with Practical hands-on experience in Analytics and Data Science is the need of the hour. Platforms like Digital Vidya are critical to filling this gap.
Ravi Vijayaraghavan, President and Head – Analytics and Decision Sciences
Python Course FAQs
What is the Python course all about?
You can become a master of the Python coding language and a very skilled Python programmer with this Python course. Any aspiring programmer can learn from the basics of Python and continue to master Python after the course.
What is the average salary of a Python Programmer?
Your salary completely depends on your skills. According to Indeed, the average salary for a Python Developer is ₹ 5,00,785 per year in India. Python language as a coding tool is big all across the globe which makes it easy to get jobs in this domain.
Who should take up a Python Programming Course?
The Python programming course is perfect for aspiring Machine Learning Engineers or Data Scientists. This language is also used for Website creation and gaming as well. We recommend this course to Non-Programmers who desire to make it big in the Data Science or the Machine Learning Space.
What are the skills needed for a Python Programmer?
Learning Python Language does not need any pre-acquired skills. Python language can be mastered by anyone with powerful logical thinking and desire to learn Python. This is mainly due to Python’s ease and simplicity.
Who provides the Python Course Certification?
You will get two certifications on successful completion of the Python Programming Course. The first certification is issued by Digital Vidya and the other by Vskills.
What Job Opportunities will I get after completing the Python Programming Course?
After successful completion of the Python Programming Course, you will get opportunities to be a Python Developer, Research Analyst, Data Analyst, Data Scientist and Software Developer. Saying that this course is mainly for those interested in taking Python Programming Course for Machine Learning or Data Science.
How can I Become a Certified Python programmer?
Digital Vidya’s Python Certification Course will help you to get certified as a Python developer and get appropriate employment in this area. Together with industry-relevant course materials, our instructor-led sessions will ensure that your understanding is up to date.
What are the Prerequisites to Take this Python Programming Course?
This Python training course requires no previous programming understanding or experience. You can learn python in the comfort of your own place with minimal stress.
Do I Need to know to Programming or have any Technical Background to enroll for this Course?
No prior technical or programming experience is required for the Python Programming Course. We will teach you everything regarding Python language from scratch.
I'm a complete fresher, how do I start with Python Programming?
To start with Python programming as a fresher, all you need is the right mindset along with proper guidance. Through our Python Certification, Digital Vidya looks forward to enhancing your skills by providing the right mix of theoretical sessions along with hands-on assignments and case studies.
How do you help Students to Learn Python Practically?
Digital Vidya’s Python Programming Course is a perfect blend of theoretical learning and practical application. Every module includes an assignment that helps the participants to apply the learning practically. These assignments are based on Python, NumPy Library, Data Manipulation using Pandas, Analyzing & Manipulating Data & Data Visualization. Apart from the assignments, we have some case studies that give participants an opportunity to apply Python programming in real-life scenarios.
How Many Hours of Study do I Need to put in Every Week?
Practice boosts a participant’s confidence level and helps to achieve perfection. In general, the more you practice, the better you get. It’s all about sharpening the saw, as they say. It is suggested to devote an average of 8-10 hours per week to learn Python Programming.
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Not sure, what to learn and how it will help you?