Learning Path
Linear: Sequential Order
About the Course
Once you've got a foundation in Python, you can move on to intermediate-level courses such as "Machine Learning with Python", "Deep Learning with Python", "Python Data Analysis & Visualization" and "Complete Machine Learning & Data Science with Python | A-Z", which uses real-world exercises. You'll also get practical experience using Python in the "Create an Image Detection App from Scratch using Machine Learning" course.
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Course Study Materials
CORE PYTHON Introduction History Features Setting up path Working with Python Basic Syntax Variable and Data Types Operator Conditional Statements If If- else Nested if-else Looping For While Nested loops Control Statements Break Continue Pass String Manipulation Accessing Strings Basic Operations String slices Function and Methods Lists Introduction Accessing list Operations Working with lists Function and Methods Tuple Introduction Accessing tuples Operations Working Functions and Methods Dictionaries Introduction Accessing values in dictionaries Working with dictionaries Properties Functions Functions Defining a function Calling a function Types of functions Function Arguments Anonymous functions Global and local variables Modules Importing module Math module Random module Packages Composition Input-Output Printing on screen Reading data from keyboard Opening and closing files Reading and Writing files Functions Exception Handling Exception Exception Handling Except clause Try ? finally clause User Defined Exceptions ADVANCE PYTHON OOPs concept Class and object Attributes Inheritance Overloading Overriding Data hiding Regular expressions Match function Search function Matching VS Searching Modifiers Patterns Database Introduction Connections Executing queries Transactions Handling error Networking Socket Socket Module Methods Client and server Internet modules Multithreading Thread Starting a thread Threading module Synchronizing threads Multithreaded Priority Queue
The certificate issued for the Course will have the student's Name, Photograph, Course Title, Certificate number, Date of course completion and the name(s) and logo(s) of the Certifying Bodies. Only the e-certificate will be made available. No Hard copies. The certificates can be e-verifiable at www.ulektzskills.com/verify.
- Students will be assessed both at the end of each module and at the end of the Course.
- Students scoring a minimum of 50% in the assessments are considered for Certifications.