Introduction to Data Science (2023)
- Category Other
- Type Tutorials
- Language English
- Total size 435.5 MB
- Uploaded By freecoursewb
- Downloads 207
- Last checked 1 month ago
- Date uploaded 2 years ago
- Seeders 4
- Leechers 2
Infohash : 5A82D2A64BCBF89967002D787A67A09F4EAA1DA7
Introduction to Data Science (2023) 
https://DevCourseWeb.com
Released: 08/2023
Duration: 2h | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 281 MB
Level: Beginner | Genre: eLearning | Language: English
The world of data science is reshaping every business, regardless of industry, location, or role. And thereβs never been a better time to get up to speed and learn the basics of this booming field. In this course, designed specifically for beginners, explore the world of data science, its opportunities and innovations, and the fundamental skills required for success.
Join Python trainer and data science expert Lavanya Vijayan as she shares what data science is and how it differs from other common data-related careers. Discover some of the most important tools used in the trade to develop your understanding of data libraries and data manipulation. Along the way, get an introduction to exploratory data analysis, data cleaning, data visualization, sampling, testing, estimating, and more. By the end of this course, youβll know how to use inference and statistical analysis to make more reliable predictions for your business.
This course was created by Madecraft. We are pleased to host this training in our library.
Homepage
https://www.linkedin.com/learning/introduction-to-data-science-22668235
Files:
[ DevCourseWeb.com ] Introduction to Data Science (2023)- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 01 - Introduction
- 01 - Beginning your data science exploration.mp4 (1.6 MB)
- 01 - Beginning your data science exploration.srt (1.6 KB)
- 01 - Demystifying data science.mp4 (6.6 MB)
- 01 - Demystifying data science.srt (6.6 KB)
- 02 - The value of data science.mp4 (3.3 MB)
- 02 - The value of data science.srt (3.1 KB)
- 03 - Defining the data science life cycle.mp4 (2.1 MB)
- 03 - Defining the data science life cycle.srt (1.6 KB)
- 01 - Reducing bias with probability sampling.mp4 (7.3 MB)
- 01 - Reducing bias with probability sampling.srt (6.4 KB)
- 02 - Using non-probability sampling.mp4 (5.6 MB)
- 02 - Using non-probability sampling.srt (4.5 KB)
- 01 - Comparing Python and R.mp4 (3.9 MB)
- 01 - Comparing Python and R.srt (3.7 KB)
- 02 - Setting up your Jupyter environment.mp4 (6.8 MB)
- 02 - Setting up your Jupyter environment.srt (5.9 KB)
- 01 - Defining tabular data.mp4 (5.1 MB)
- 01 - Defining tabular data.srt (4.1 KB)
- 02 - Reading tabular data.mp4 (12.3 MB)
- 02 - Reading tabular data.srt (9.4 KB)
- 03 - Interpreting tabular data.mp4 (5.0 MB)
- 03 - Interpreting tabular data.srt (3.1 KB)
- 04 - Gathering insights.mp4 (11.8 MB)
- 04 - Gathering insights.srt (8.5 KB)
- 05 - Answering specific questions.mp4 (5.1 MB)
- 05 - Answering specific questions.srt (3.8 KB)
- 01 - Defining exploratory data analysis.mp4 (1.5 MB)
- 01 - Defining exploratory data analysis.srt (1.5 KB)
- 02 - Recognizing statistical data types.mp4 (4.9 MB)
- 02 - Recognizing statistical data types.srt (5.7 KB)
- 03 - Distinguishing properties of data.mp4 (11.3 MB)
- 03 - Distinguishing properties of data.srt (8.5 KB)
- 01 - Explaining data cleaning.mp4 (2.2 MB)
- 01 - Explaining data cleaning.srt (2.4 KB)
- 02 - Questions to guide data cleaning.mp4 (8.4 MB)
- 02 - Questions to guide data cleaning.srt (6.2 KB)
- 01 - Demystifying data visualization.mp4 (2.1 MB)
- 01 - Demystifying data visualization.srt (1.7 KB)
- 02 - Visualizing your qualitative data.mp4 (9.2 MB)
- 02 - Visualizing your qualitative data.srt (7.1 KB)
- 03 - Visualizing your quantitative data.mp4 (14.0 MB)
- 03 - Visualizing your quantitative data.srt (10.2 KB)
- 01 - Defining inference.mp4 (1.5 MB)
- 01 - Defining inference.srt (1.3 KB)
- 02 - Designing a hypothesis test.mp4 (9.6 MB)
- 02 - Designing a hypothesis test.srt (9.1 KB)
- 03 - Creating a permutation.mp4 (8.2 MB)
- 03 - Creating a permutation.srt (7.4 KB)
- 04 - Conducting a permutation test.mp4 (13.2 MB)
- 04 - Conducting a permutation test.srt (11.5 KB)
- 05 - Bootstrapping a confidence interval.mp4 (18.7 MB)
- 05 - Bootstrapping a confidence interval.srt (13.7 KB)
- 01 - Defining prediction for data science.mp4 (3.4 MB)
- 01 - Defining prediction for data science.srt (3.2 KB)
- 02 - Navigating classification.mp4 (4.4 MB)
- 02 - Navigating classification.srt (3.9 KB)
- 03 - Recognizing the k-NN algorithm.mp4 (6.2 MB)
- 03 - Recognizing the k-NN algorithm.srt (6.2 KB)
- 04 - Implementing k-Nearest Neighbors.mp4 (15.9 MB)
- 04 - Implementing k-Nearest Neighbors.srt (11.8 KB)
- 05 - Navigating regression.mp4 (5.7 MB)
- 05 - Navigating regression.srt (5.3 KB)
- 06 - Checking assumptions of regression.mp4 (3.5 MB)
- 06 - Checking assumptions of regression.srt (4.2 KB)
- 07 - Implementing linear regression.mp4 (12.9 MB)
- 07 - Implementing linear regression.srt (9.7 KB)
- 01 - Next steps.mp4 (2.4 MB)
- 01 - Next steps.srt (2.0 KB)
- Bonus Resources.txt (0.4 KB) Ex_Files_Intro_to_Data_Science Exercise Files
- 03_02.ipynb (0.7 KB)
- 04_01.ipynb (5.5 KB)
- 04_02.ipynb (19.4 KB)
- 04_03.ipynb (35.9 KB)
- 04_04.ipynb (14.8 KB)
- 04_05.ipynb (42.0 KB)
- 05_03.ipynb (14.6 KB)
- 06_02.ipynb (17.6 KB)
- 07_02.ipynb (2.5 KB)
- 07_03.ipynb (174.4 KB)
- 08_02.ipynb (26.6 KB)
- 08_03.ipynb (10.8 KB)
- 08_04.ipynb (8.5 KB)
- 08_05.ipynb (29.4 KB)
- 09_04.ipynb (149.3 KB)
- 09_07.ipynb (410.8 KB)
- Airbnb_NYC_2019.csv (6.8 MB)
- Resources.pdf (68.8 KB)
- avocado_info.csv (10.9 KB)
- ckd.csv (17.6 KB)
- marketing_sales_data.csv (26.0 KB)
- netflix_data.csv (1.7 MB)
- state_baby_names.csv (147.5 MB)
- us_baby_names.csv (42.3 MB)
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