Discover Python programming with our expert-led sessions, tailored for both enthusiasts and professionals. Experience hands-on, interactive learning to master data analytics, explore machine learning, or boost your coding skills.
• What is programming?
• Why Python?
• Setting up Python environment
• Basic Python syntax
• Variables declaration
• Numeric data types (int, float, complex)
• Textual data types (str)
• Boolean data type (bool)
• Input and output operations (print(), input())
• String formatting (f-strings, format() method)
• Type conversions
• Relational operators (==, !=, <, >, <=, >=)
• Logical operators (and, or, not)
• If-else statements
• Nested if-else statements
• Elif statements
• For loops
• While loops
• Nested loops
• Break and continue statements
• Looping over collections (lists, tuples, strings)
• Defining and calling functions
• Function arguments and parameters
• Returning values from functions
• Scope and lifetime of variables
• Built-in string methods (len(), index(), find(), replace())
• String slicing and concatenation
• Lists
• Tuples
• Dictionaries
• Sets
• List comprehensions
• Dictionary comprehensions
• Game design and implementation
• Using lists to store words and guesses
• Handling user input and validation
• Displaying game status and feedback
• Checking for winning and losing conditions
• Designing a calculator with basic arithmetic operations
• Handling user input and expressions
• Evaluating expressions
• Displaying results
Python is known for its simple and readable syntax, making it an ideal programming language for beginners. It's often recommended as a first programming language.
Python is used in many areas such as web development, data analysis, artificial intelligence, scientific computing, and more. Its versatility makes it a valuable skill for a wide range of professions.
With a vast community of developers, finding support, tutorials, and documentation is easy. This community support makes learning and troubleshooting more accessible.
Python boasts an extensive range of libraries and frameworks, such as Django for web development and Pandas for data analysis, which simplifies and speeds up the development process.
Python integrates well with other languages and systems, and it's compatible with major platforms and operating systems, enhancing its usability in diverse environments.
Python is excellent for automating repetitive tasks and scripting, thereby increasing efficiency and reducing the likelihood of human error.
Python plays a significant role in cutting-edge fields like machine learning, artificial intelligence, and big data, making it an essential tool for modern technological innovation.
In academia, Python is widely used for scientific research, complex calculations, and academic projects due to its simplicity and powerful libraries.
Python's continuous development and innovation keep it relevant and influential. As technology advances, it remains integral in emerging fields like quantum computing and bioinformatics.
I have transitioned my career from Manual Tester to Data Scientist by upskilling myself on my own from various online resources and doing lots of Hands-on practice. For internal switch I sent around 150 mails to different project managers, interviewed in 20 and got selected in 10 projects.When it came to changing company I put papers with NO offers in hand. And in the notice period I struggled to get a job. First 2 months were very difficult but in the last month things started changing miraculously.I attended 40+ interviews in span of 3 months with the help of Naukri and LinkedIn profile Optimizations and got offer by 8 companies.
Based on my career transition and industrial experience, I have designed this course so anyone from any background can learn Data Science and become Job-Ready at affordable price.
