Hands On Python Data Science - Data Science Bootcamp

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Free Download Hands On Python Data Science - Data Science Bootcamp
Published 10/2024
Created by Sayman Creative Institute
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 40m ) | Size: 1.55 GB

Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning
What you'll learn
A strong foundation in Python programming concepts, including variables, data types, control flow, and functions.
Effective use of various data structures, such as lists, tuples, dictionaries, and sets.
Proficiency in the NumPy library for efficient numerical computations and array manipulation.
Skillful application of the Pandas library for data cleaning, filtering, grouping, and aggregation.
Exposure to fundamental machine learning concepts and algorithms using Scikit-learn.
Requirements
No experience required
Description
This comprehensive course is designed for both beginners and those looking to sharpen their data science skills. Through a step-by-step approach, you'll learn to harness Python's powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn, enabling you to analyze, visualize, and draw insights from data like a pro.What You'll Learnython Fundamentals for Data Science: Master the essentials of Python programming and understand how to apply them in data science.Data Analysis & Manipulation: Explore how to clean, filter, and manipulate large datasets using Pandas and NumPy.Data Visualization: Create stunning visualizations using Matplotlib and Seaborn to communicate insights effectively.Machine Learning Made Easy: Dive into key algorithms such as regression, classification, and clustering using Scikit-Learn, and apply them to real-world projects.Real-World Projects: Work on hands-on projects, including data analysis and predictive modeling, that will give you a portfolio to showcase your skills.Why Enroll in This Course?Hands-On Learning: Get practical experience with coding exercises, quizzes, and real-world projects.Industry-Relevant Skills: Acquire the tools and techniques used by top data scientists in the industry.Guided Support: Learn with easy-to-follow lessons, and get answers to your questions through interactive Q&A.Lifetime Access: Revisit lessons anytime, anywhere, and continue your learning journey at your own pace.Whether you're an aspiring data scientist, analyst, or someone looking to make data-driven decisions, this bootcamp is your gateway to a successful data science career. Enroll now and transform raw data into actionable insights!
Who this course is for
Individuals with no prior programming experience but a desire to learn data science.
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1.56 GB | 00:15:51 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English​

Files Included :

Spoiler

1 -Introduction (16.95 MB)
10 -A Dictionary (39.76 MB)
11 -The CRUD for Lists (115.17 MB)
12 -The CRUD for Dictionary (81.35 MB)
13 -If, Else and Elif Statement (106.52 MB)
14 -IN Statement (51.63 MB)
15 -Understanding about the For Loop (89.71 MB)
16 -About Continue, Break and Pass (81.26 MB)
17 -About the While Statement (73.56 MB)
18 -How to Loop Through Dictionaries (72.55 MB)
19 -The List Comprehensions (38.06 MB)
2 -An Introduction to Python for Data Science (150.49 MB)
20 -Defining a Function (32.7 MB)
21 -Understanding Positional Arguments (58.64 MB)
22 -Having Multiple Positional Arguments (41.87 MB)
23 -Class Project 1 (37.27 MB)
24 -Class Project 2 (34 MB)
3 -Getting Started (68.48 MB)
4 -Creating your Jupyter Notebook (124.62 MB)
5 -Cell Types and it's usage (49.65 MB)
6 -Learning about Variables- Part 1 (71.07 MB)
7 -Strings, Integers, Floats and Booleans (57.23 MB)
8 -Lists and Tuples (60.76 MB)
9 -Learning about Sets (44.27 MB)

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