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Data Analytics Self-Paced Course
Introduction to Data Analytics
Introduction to Python for Data Analytics (7:11)
Python Installation in Windows (3:37)
Python IDE (Pycharm) (5:11)
Basics of Python
First Program in Python (6:35)
How to add Comments in Python (3:52)
Creating variables in Python (7:37)
Datatypes, User-Inputs - int(), float(), eval() (10:45)
TypeCasting and subtypes (6:28)
Python Operators
Operators and Operands (2:05)
Arithmetic Operators (5:21)
Comparisional Operators (4:00)
Logical Operators (6:04)
Assignment Operators (3:47)
Bitwise Operatos (11:19)
Identity Operators (2:41)
Membership Operators (2:32)
Conditional Statements
Introduction to Conditional Statements (2:10)
Using if the Statement (4:06)
Using if-else conditional Statement (5:10)
Using if-elif-else conditional Statements (7:03)
Nested if Statement (5:20)
Short Hand if Statement (3:19)
Short Hand if-else Statement (3:51)
Problem Solving (25:43)
Loops
Introduction to Loops and types (2:18)
For Loop (12:55)
While Loop (8:01)
While True (4:46)
Nested Loops (9:24)
For Loop with Conditional Statements (5:45)
Break and Continue Statement (6:23)
Problem Solving (Part- 1) (25:23)
Problem Solving (Part- 2) (25:49)
Problem Solving (Part-3) (16:32)
Strings
String Functions 1 (20:12)
String Functions 2 (16:17)
String Functions 3 (17:58)
Slicing in Strings (7:38)
Problem Solving 1 (6:48)
Problem Solving 2 (7:57)
Problem Solving 3 (12:27)
Lists
Introduction to Lists (4:20)
Lists Slicing (7:05)
Lists Iteration (8:32)
Lists Functions Part 1 (6:27)
Lists Functions Part 2 (5:45)
List Comprehension (new) (4:02)
Problem Solving (11:33)
Tuples
Introduction to Tuples (4:21)
Tuples Slicing and Iteration (8:08)
Conversion of tuples to lists, and tuple functions (4:44)
Problem Solving (11:11)
Dictionaries
Introduction to Dictionaries (5:07)
Iteration in Dictionaries (4:56)
Dictionary Function Part-1 (3:23)
Dictionary Function Part-2 (2:03)
Nested Dictionaries (6:32)
Problem Solving (8:35)
Sets
Introduction to Sets (3:51)
Set Methods - 1 (3:55)
Set Methods - 2 (6:03)
Set Methods - 3 (8:58)
Problem Solving (9:26)
Functions
Introduction to Functions (5:43)
Parameters and Arguments (6:45)
Return Statement and Recusrion in Functions (12:24)
Lambda Function in Python (4:14)
Local and Global Variables (4:39)
Problem Solving (25:37)
Modules
In-built Modules (1:44)
Introduction to Modules (52:48)
Creation of Modules (14:22)
Project Random Module (5:37)
Python (Data Science Libraries) NumPy
Introduction to Numpy (12:47)
Installation of Jupyter Notebook (6:50)
Creation, Indexing and Slicing of Numpy Arrays (11:56)
Inspecting an Array (7:49)
Mathematical Operations and Functions on Arrays (6:21)
Combining and Splitting Arrays (9:00)
Adding and Removing Elements in the Arrays (7:31)
Search, Sort and Filter Arrays (9:41)
Aggregating Functions in Arrays (10:25)
Statistical Functions in Arrays (13:38)
Pandas
Introduction to Pandas (6:29)
Creation of Data Frames (8:22)
Exploring Data in Pandas (9:19)
Dealing with Duplicate values in Pandas (6:31)
Working with Missing Data in Pandas (12:55)
Column Transformation in Pandas (Part-1) (9:31)
Column Transformation in Pandas (Part-2) (6:31)
Python Pandas - GroupBy (8:13)
Merge, concatenate and join - Pandas (11:35)
Pandas | Compare DataFrames (10:31)
Pivoting and Melting Dataframes (13:09)
Matplotlib
Introduction to Matplotlib (2:58)
Bar Plot - Matplotlib (12:45)
Line Plot - Matplotlib (12:41)
Scatter Plot - Matplotlib (11:31)
Pie Chart - Matplotlib (12:21)
Box Plot - Matplotlib (22:25)
Histogram - Matplotlib (6:14)
Violin Plot - Matplotlib (6:04)
Stem plot in matplotlib (8:23)
Matplotlib Stack Plot (11:53)
matplotlib - Plot a step chart (8:16)
Matplotlib working with legends (9:33)
Matplotlib Subplot (7:36)
Save a Chart Using Matplotlib (6:42)
Seaborn
Seaborn - Line Plot (9:14)
Data Visualization in Seaborn (2:52)
Seaborn - Bar Plot (10:09)
Seaborn - Historgram Plot (7:35)
Seaborn - Scatter Plot (13:04)
Seaborn - Heatmap Plot (7:00)
Seaborn - Count Plot (7:04)
Seaborn - Violin Plot (6:09)
Seaborn - Pair Plot (6:23)
Seaborn - Strip Plot (4:47)
Seaborn - Box Plot (5:30)
Seaborn - Cat Plot (5:07)
Seaborn - Style and Color in Plots (5:45)
Seaborn - Multiple Plot ( Facet - Grid ) (4:27)
Seaborn - Relational Plot (5:15)
Seaborn - Swarm Plot (5:09)
Seaborn - kde Plot (5:13)
Tableau
Business Intelligence (3:40)
How to Download and Install Tableau Desktop (4:59)
introduction to tableau (9:17)
Data Connections and Tableau Interface
Tableau File Types and Their Use (13:04)
Connecting With Different Database (8:32)
Data Type (11:42)
Column Formatting (11:42)
Worksheet Interface (17:31)
Table Join in Tableau (14:51)
Cross Database Joins (7:56)
Data Blending (9:01)
Marks in Tableau (13:51)
Title And Caption (10:38)
Discreate v/s Continuous (7:28)
Text Format in Tableau (13:14)
Tableau Charts
Text Tables in Tableau (7:56)
Bar Chart in Tableau (7:51)
filled_maps_in_tableau__tableau_filled_maps (1080p) (14:36)
histogram_in_tableau_-_statistical_histogram_chart_in_tableau (1080p) (10:45)
lines_chart_in_tableau_and_dual_axis (1080p) (5:06)
pie_chart_in_tableau (1080p) (3:46)
scatter_plot_in_tableau (1080p) (11:51)
ta011a (1080p) (3:03)
ta014 (1080p) (10:36)
ta016 (1080p) (5:56)
ta017 (1080p) (4:27)
Side by Side Bar Chart and Stacked Bar Chart in Tableau (16:00)
Bubble Chart in Tableau (6:05)
Tree Map chart in Tableau (8:21)
WordCloud Visual (7:22)
Box and Whisker Plot in Tableau (7:19)
Circle Views Chart in Tableau (3:41)
Bullet Chart in Tableau (5:55)
Area Chart in Tableau (4:48)
Dual Combination Chart in Tableau (5:14)
Donut Chart (4:09)
Organizing, Simplifying data and Calculations
Table Calculations in Tableau Part -1 (17:14)
Table Calculations in Tableau Part -2 (8:05)
Hirearchies and Grouping (19:42)
Combine and Sets (12:22)
Measure Name , Measure Values and Usage (5:54)
Filter in Tableau (16:41)
Interactive Filters (8:04)
Seaborn - Multiple Plot ( Facet - Grid )
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