Call us: (+91-920-521-4300)
Email us: support@learndreamskill.com
Python course contents with 31:26:13 hours duration are below: [Course fee : INR 2499] - Buy Now
Please login/sign up to enjoy free tutorials. Here you can only see the contents pertaining to the free and paid categories.

Enjoy demo tutorial videos without registration
    Video duration 01:02:13 hour

Please login/sign-up to enjoy more free videos
Free Topics
Introduction to Python
Total duration - 01:02:13
Introduction to Python
01:02:13 - Hour
Introduction_to_Python
01:02:13 Hour
Paid Topics
Introduction to Python
Total duration - 00:00:00
Working with Python
Total duration - 00:31:47
Working with Python
00:31:47 - Hour
Working_with_Python
00:31:47 Hour
String in Python
Total duration - 01:41:51
Working with String
00:57:24 - Hour
Working_with_String_1
00:57:24 Hour
Working with String 2
00:44:27 - Hour
Working_with_String_2
00:44:27 Hour
List
Total duration - 00:35:36
Lists
00:35:36 - Hour
Lists
00:35:36 Hour
Tuple
Total duration - 00:24:37
Tuples
00:24:37 - Hour
Tuples
00:24:37 Hour
Dictionaries
Total duration - 00:43:05
Dictionaries
00:43:05 - Hour
Dictionaries
00:43:05 Hour
Statements
Total duration - 00:54:18
Statements
00:54:18 - Hour
Statements
00:54:18 Hour
Conditional Statements
Total duration - 00:19:00
Conditional Statements
00:19:00 - Hour
Conditional_Statement
00:19:00 Hour
Iterative Statements
Total duration - 01:08:34
Iteration
01:08:34 - Hour
Loops
01:08:34 Hour
For Loop
Total duration - 00:40:17
For Loop
00:40:17 - Hour
For_Loop
00:40:17 Hour
Functions
Total duration - 01:44:27
Functions
01:44:27 - Hour
Function
00:47:45 Hour
Function_Advance_1
00:56:42 Hour
Modules
Total duration - 01:03:35
Modules
01:03:35 - Hour
Modules
01:03:35 Hour
Introduction to Anaconda
Total duration - 00:44:45
Introduction to Anaconda
00:44:45 - Hour
Intro_to_Anaconda
00:44:45 Hour
Introduction to Pandas
Total duration - 00:38:26
Shaking hands with Pandas
00:38:26 - Hour
Working_with_Pandas
00:38:26 Hour
DataFrame
Total duration - 01:05:03
Introduction to Spyder
00:12:52 - Hour
Introduction_to_Spyder
00:12:52 Hour
DataFrame
00:52:11 - Hour
DataFrame_1
00:24:22 Hour
DataFrame_2
00:27:49 Hour
Importing Data
Total duration - 01:38:34
Importing Data 1
00:31:42 - Hour
Importing_Session_1
00:31:42 Hour
Importing Data 2
00:20:46 - Hour
Importing_Session_2
00:20:46 Hour
Importing Data 3
00:27:37 - Hour
Importing_Session_3
00:27:37 Hour
Importing Data 4
00:18:29 - Hour
Import_Sesssion_4
00:18:29 Hour
Subset Data
Total duration - 01:00:51
Subset 1
00:16:45 - Hour
Subset_Introduction_1
00:16:45 Hour
Subset 2
00:25:01 - Hour
Subset_by_columns_2
00:25:01 Hour
Subset 3
00:19:05 - Hour
Subset_by_rows_3
00:19:05 Hour
Renaming
Total duration - 00:20:30
Renaming
00:20:30 - Hour
Renaming_columns
00:20:30 Hour
Domain Explanation
Total duration - 01:10:15
Domain Knowledge session 1
00:42:21 - Hour
Domain_Explain_1
00:42:21 Hour
Domain Knowledge session 2
00:27:54 - Hour
Domain_Explain_2
00:27:54 Hour
Stacking
Total duration - 00:44:35
Stacking
00:44:35 - Hour
Stacking
00:44:35 Hour
Merging
Total duration - 00:33:47
Merging dataframe
00:33:47 - Hour
Merging_1
00:33:47 Hour
Join
Total duration - 00:12:46
Joining dataframe
00:12:46 - Hour
Joins
00:12:46 Hour
Aggregating data
Total duration - 01:19:29
Aggregations
00:34:58 - Hour
Aggregation_1
00:34:58 Hour
Aggregations 2
00:44:31 - Hour
Aggregation_2
00:44:31 Hour
Sorting data
Total duration - 00:13:07
Sorting data
00:13:07 - Hour
Sorting
00:13:07 Hour
Delete Duplicates
Total duration - 00:12:39
Delete Duplicate Records
00:12:39 - Hour
Delete_Duplicate
00:12:39 Hour
Working with Character data
Total duration - 00:28:52
Processing Character data
00:28:52 - Hour
Working_with_Text
00:28:52 Hour
Working with Date Time
Total duration - 00:47:47
Processing Date Time
00:42:45 - Hour
Date_Time_1
00:42:45 Hour
Processing Date Time 2
00:05:02 - Hour
Date_Time_2
00:05:02 Hour
Creating New column
Total duration - 00:28:57
Creating New column
00:28:57 - Hour
Create_New_column
00:28:57 Hour
Transpose
Total duration - 00:47:08
Transpose
00:23:25 - Hour
Tranpose_1
00:23:25 Hour
Transpose 2
00:23:43 - Hour
Transpose_2
00:23:43 Hour
Cross Tab data
Total duration - 00:15:59
Crosstab data
00:15:59 - Hour
Crosstab
00:15:59 Hour
Creating Dummy Vars
Total duration - 00:25:40
Creating Dummy Vars
00:25:40 - Hour
Creating_Dummy_Vars
00:25:40 Hour
Describe Data
Total duration - 00:16:18
Describe Data
00:16:18 - Hour
Describe_Data
00:16:18 Hour
Handling Missing values
Total duration - 00:51:47
Handling Missing values
00:23:00 - Hour
Missing_Values_1
00:23:00 Hour
Handling Missing values 2
00:28:47 - Hour
Missing_Values_2
00:28:47 Hour
SQL
Total duration - 00:52:17
SQL 1
00:22:18 - Hour
SQL_1
00:22:18 Hour
SQL 2
00:29:59 - Hour
SQL_2_Group_by
00:29:59 Hour
SQL Merging
Total duration - 00:12:23
SQL Merging
00:12:23 - Hour
Merging
00:12:23 Hour
SQL Stacking_Sorting
Total duration - 00:11:56
SQL Stacking and Sorting
00:11:56 - Hour
SQL_4_Sorting_Stacking
00:11:56 Hour
Real Live Project
Total duration - 03:09:46
Project Explanation
00:19:35 - Hour
Session_1
00:19:35 Hour
Project Explanation 2
00:29:02 - Hour
Session_2
00:29:02 Hour
Project Explanation 3
00:26:46 - Hour
Session_3
00:26:46 Hour
Project Explanation 4
00:15:02 - Hour
Session_4
00:15:02 Hour
Project Explanation 5
00:18:15 - Hour
Session_5
00:18:15 Hour
Import data
00:31:24 - Hour
Import_data_1
00:31:24 Hour
Project Data Processing 1
00:25:02 - Hour
Data_Processing_2
00:25:02 Hour
Project Data Processing 2
00:14:15 - Hour
Data_Processing_3
00:14:15 Hour
Project Data Processing 3
00:10:25 - Hour
Data_Processing_4
00:10:25 Hour
Python Def Function
Total duration - 00:49:16
Def Function 1
00:15:57 - Hour
Def_1
00:15:57 Hour
Def Function 2
00:18:04 - Hour
Def_2
00:18:04 Hour
Def Function 3
00:15:15 - Hour
Def_3
00:15:15 Hour
Analysis Exercise
Total duration - 01:04:00
Data Requirement
00:16:37 - Hour
Data_Explanation
00:16:37 Hour
Project Method 1
00:32:47 - Hour
Working_on_Project_1
00:19:12 Hour
Working_on_Project_2
00:13:35 Hour
Project Method 2
00:14:36 - Hour
Project_Method_2
00:14:36 Hour