Advanced Data Analytics using Python
- Description
- Curriculum
- FAQ
- Reviews
Welcome to the online course on Advanced Data Analytics using Python.
Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed.
The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.
In this course, you will get advanced knowledge on Data Analytics.
This course begins with providing you the complete knowledge on Python programming language.
You will learn all the concepts of python programming from basics to advanced level.
This course will cover the following topics:-
- Variables and data types
- Loops and conditionals
- Functions
- Object oriented programming
- Dates and times
- Regular expressions
- Numpy and pandas library
Along with python programming, this course will cover other data analytics concepts such as
- Data Visualization
- Data cleaning
- Query Analysis
- Data Exploration
- Statistics and Probability concepts
All these topics are covered in detail.
Along with theory you will get to practice them using some real world datasets.
There will be lots of exercises and quizzes.
Not only this, you will get to work on some exciting projects including Startups Case Study and Analysis, IPL Player performance Analysis.
Instructor Support – Quick Instructor Support for any queries.
I’m looking forward to see you in the course!
Lots of exercises and quizzes are waiting for you.
You will also have access to all the resources used in this course.
Enroll now and become an expert in data analytics.
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1
Introduction -
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Why should you learn Python?
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3
Installing Python and Jupyter Notebook
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4
Understanding the Interface of Jupyter Notebook
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5
Naming Convention for variables
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6
Built in Data Types and Type Casting
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7
Scope of Variables
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8
Quiz on Variables and Data Types -
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Quiz Solution
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10
Exercise on Variables and Data Types
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Solution on Variables and Data Types
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12
Exercise on Scope of Variables
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13
Solution on Scope of Variables
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14
Arithmetic and Assignment Operators
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15
Comparison, Logical, and Bitwise Operators
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16
Identity and Membership Operators
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17
Quiz on Operators
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Quiz Solution
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19
Exercise on Arithmetic and Assignment Operators
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20
Solution on Arithmetic and Assignment Operators
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21
Exercise on Comparison, Logical, and Bitwise Operators
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22
Solution on Comparison, Logical, and Bitwise Operators
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Exercise on Identity and Membership Operators
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24
Solution on Identity and Membership Operators
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25
String Formatting
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26
String Methods
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27
User Input
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28
Quiz on Strings
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29
Quiz Solution
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30
Exercise on Strings
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31
Solution on Strings
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32
If, elif, and else
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33
For and While
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34
Break and Continue
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35
Quiz on Loops and conditionals
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36
Quiz Solution
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37
Exercise on Loops and Conditionals
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38
Solution on Loops and Conditionals
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39
Differences between Lists and Tuples
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40
Operations on Lists
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41
Operations on Tuples
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42
Quiz on Lists and Tuples
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43
Quiz Solution
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44
Exercises on Lists
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45
Solution on Lists
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46
Introduction to Dictionaries
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47
Operations on Dictionaries
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48
Nested Dictionaries
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49
Introduction to Sets
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50
Set Operations
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51
Quiz on Sets and Dictionaries
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Quiz Solution
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53
Exercise on Sets
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Solution on Sets
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55
Exercises on Dictionaries
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Solution on Dictionaries
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57
Introduction to Stacks and Queues
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58
Implementing Stacks and Queues using Lists
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59
Implementing Stacks and Queues using Deque
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60
Quiz on Stacks and Queues
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61
Quiz Solution
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62
Exercise on Stacks and Queues
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Solution on Stacks and Queues
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Time Complexity
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65
Linear Search
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Binary Search
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67
Bubble Sort
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Insertion and Selection Sort
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Merge Sort
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Quiz on Searching, Sorting, and Time Complexity
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71
Quiz Solution
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72
Exercise on Searching and Sorting
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Solution on Searching and Sorting
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Exercise on Time Complexity
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Solution on Time Complexity
