Data Science Pro 2024: Python, Pandas & ML Mastery
Focused View
4:55:07
1 - Introduction.mp4
08:04
2 - Python Data Types.mp4
02:29
3 - Operators.mp4
00:59
4 - Arithmatic Operators.mp4
03:11
5 - Assignment Operators.mp4
06:03
6 - Comparison Operators.mp4
03:17
7 - More on Strings.mp4
08:14
8 - String Methods.mp4
27:25
9 - Lists.mp4
09:58
10 - Tuples.mp4
03:24
11 - Sets.mp4
06:28
12 - Dictionaries.mp4
07:55
13 - Identity Operators.mp4
02:17
14 - Compound Data Structures.mp4
06:00
15 - Python loops.mp4
04:13
16 - Range Understanding.mp4
07:20
17 - Creating and Modifying Lists.mp4
05:09
18 - Looping Through Dictionaries.mp4
02:38
19 - Enumerate Function.mp4
02:46
20 - List Comprehentions.mp4
01:45
21 - Adding Conditionals to List Comprehentions.mp4
03:27
22 - Python Functions.mp4
02:34
23 - Functions Parameters.mp4
02:14
24 - Return values.mp4
01:51
25 - Default Parameters.mp4
01:41
26 - VariableLength Arguments.mp4
03:30
27 - Lambda Functions.mp4
01:19
28 - Higher Order Functions.mp4
05:30
29 - Recursive Functions.mp4
02:54
30 - Docstrings.mp4
01:50
31 - Functions Annotations.mp4
03:02
32 - Nested Functions.mp4
01:50
33 - Decorators.mp4
04:12
34 - Introduction to numpy.mp4
08:37
35 - Array Attributes.mp4
02:41
36 - Array Indexing and Slicing.mp4
04:29
37 - Array Operations.mp4
03:17
38 - Reshaping Arrays.mp4
02:41
39 - Stacking and Splitting Arrays.mp4
04:22
40 - Splitting Arrays.mp4
01:52
41 - Broadcasting.mp4
01:52
42 - Boolean Indexing and Filtering.mp4
04:07
43 - Advanced Array Manipulations.mp4
12:47
44 - Introduction to Pandas.mp4
04:41
45 - Pandas Series.mp4
04:43
46 - Pandas DataFames.mp4
06:58
47 - Loading Data Into a DataFrame.mp4
04:11
48 - Handling Missing Data NaN Values.mp4
06:06
49 - Basic DataFrame Operations.mp4
04:29
50 - Grouping Data in Pandas.mp4
06:08
51 - Merging and Joining DataFrames.mp4
07:58
52 - Data Cleaning.mp4
07:25
53 - Introduction to Machine Learning and Scikitlearn.mp4
03:50
54 - Data Preprocessing.mp4
07:47
55 - Handling Missing Values.mp4
03:55
56 - Features Scaling.mp4
05:22
57 - Encoding Categorical Variables.mp4
06:49
58 - Decision Trees.mp4
06:29
59 - Support Vector Machine.mp4
06:02
More details
Course Overview
Launch your data science career with this complete Python course covering data analysis, machine learning, and visualization using industry-standard tools like Pandas and Scikit-learn.
What You'll Learn
- Master Python fundamentals for data science applications
- Clean, analyze and visualize data with Pandas and NumPy
- Build predictive models using Scikit-learn algorithms
Who This Is For
- Aspiring data scientists starting from scratch
- Analysts transitioning to Python-based workflows
- Professionals adding data skills to their toolkit
Key Benefits
- Hands-on projects with real-world datasets
- Comprehensive coverage from basics to ML
- Career-ready data science skills
Curriculum Highlights
- Python Foundations for Data Science
- Data Wrangling with Pandas
- Machine Learning with Scikit-learn
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Category
- language english
- Training sessions 59
- duration 4:55:07
- Release Date 2025/05/10
