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【压缩文件】 [LinkedIn Learning] Master Data Engineering - Complete 7 Courses

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7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/Ex_Files_Advanced_Snowflake.zip 1.3 GB
5. Python for Data Engineering from Beginner to Advanced/8 - Capstone Project/2. Solution Capstone project.mp4 40.6 MB
2. Troubleshooting and Debugging Kafka/5 - Monitoring Multi-Broker Clusters/1. Configuration properties for a multi-broker cluster.mp4 23.4 MB
5. Python for Data Engineering from Beginner to Advanced/4 - pandas DataFrame API/3. Data cleaning and preprocessing.mp4 18.7 MB
3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/1. Running a Kafka cluster with three brokers.mp4 17.4 MB
7. Advanced Snowflake Deep Dive Cloud Data Warehousing and Analytics/4 - Working with Semi-structured Data/2. Loading JSON data.mp4 17.0 MB
3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/2. Tuning throughput.mp4 16.4 MB
3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/2. Running basic producer performance tests.mp4 16.3 MB
3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/8. Effect of message size and record count.mp4 16.0 MB
3. Tuning Kafka OneHack.us/4 - Tuning Kafka Brokers/1. End-to-end latency with replication.mp4 16.0 MB
2. Troubleshooting and Debugging Kafka/4 - Monitoring Consumer Groups/1. Programmatically produce messages using Python.mp4 15.8 MB
5. Python for Data Engineering from Beginner to Advanced/3 - Python File Handling/2. Working with CSV files.mp4 15.3 MB
2. Troubleshooting and Debugging Kafka/7 - Configuring Alerts/2. Configuring email settings for alerts.mp4 15.3 MB
3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/6. Tuning producer compression.mp4 15.3 MB
3. Tuning Kafka OneHack.us/3 - Tuning Kafka Consumers/2. Tuning fetch bytes and wait time for consumers.mp4 15.2 MB
6. Data Engineering dbt for SQL/2 - Modeling in SQL/3. Modeling in dbt.mp4 15.1 MB
5. Python for Data Engineering from Beginner to Advanced/2 - Python Collections/5. Python collections Dictionaries.mp4 14.8 MB
5. Python for Data Engineering from Beginner to Advanced/1 - Python Basics/9. String manipulation.mp4 14.5 MB
5. Python for Data Engineering from Beginner to Advanced/5 - NumPy/4. Indexing and slicing.mp4 14.4 MB
3. Tuning Kafka OneHack.us/2 - Tuning Kafka Producers/3. Effects of partitioning on producers.mp4 14.2 MB

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【压缩文件】 Machine Learning, Data Science and Deep Learning with Python

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【压缩文件】 Machine Learning A-Z™ Hands-On Python & R In Data Science

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Machine Learning A-Z™ Hands-On Python & R In Data Science.zip 5.5 GB
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【压缩文件】 The Data Science Course 2018 Complete Data Science Bootcamp

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【压缩文件】 Pluralsight Path. Data Analytics Literacy (2021)

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D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/exercise.7z 86.7 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/02. Load Data and Join Tables.mp4 38.3 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/exercise.7z 34.6 MB
A1. Representing, Processing, and Preparing Data (Janani Ravi, 2019)/3. Preparing Data for Analysis Using Spreadsheets and Python/2. Excel - Working with Duplicates and Missing Values.mp4 31.6 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/4. Combining and Shaping Data Using SQL/5. Loading Data Using Azure Data Factory Pipelines.mp4 28.5 MB
D2. Building, Training, and Validating Models in Microsoft Azure (Bismark Adomako, 2020)/4. Identifying Features from Raw Data/2. Selecting Data Granularity.mp4 28.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/6. The Problem of Correct Classification/3. Demo - Classify with Logistic Regression.mp4 26.3 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/09. Calculating Cumulative Sum and Ranks on Partitioned Data.mp4 24.6 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/3. Building and Training a Machine Learning Model/7. Building and Training a Regression Model in Python.mp4 24.4 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/3. Combining and Shaping Data Using Spreadsheets/05. Convert CSV Data to Table Format.mp4 23.0 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/exercise.7z 22.8 MB
B2. Experimental Design for Data Analysis (Janani Ravi, 2019)/4. Understanding and Overcoming Common Problems in Data Modeling/6. Building Training and Evaluating a Classification Model.mp4 21.1 MB
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C2. Communicating Data Insights (Janani Ravi, 2020)/5. Integrating Data in a Multi-cloud Environment/6. Loading Data from S3 Buckets to the SQL Data Warehouse.mp4 20.3 MB
D1. Interpreting Data with Advanced Statistical Models (Axel Sirota, 2019)/8. The Subtle Art of Not Needing Labels - Unsupervised Learning/5. Demo - Breast Cancer at a Glance.mp4 20.2 MB
B1. Summarizing Data and Deducing Probabilities (Janani Ravi, 2021)/3. Performing Exploratory Data Analysis in Spreadsheets/03. Descriptive Statistics for Univariate Data.mp4 20.1 MB
A2. Combining and Shaping Data (Janani Ravi, 2020)/6. Integrating Data from Disparate Sources into a Data Warehouse/05. Loading Data from GCP Cloud Storage Buckets to the Azure SQL Data Warehous.mp4 19.9 MB
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【压缩文件】 [FreeCoursesOnline.Me] Udacity - Data Structures and Algorithms Nanodegree nd256 v2.0.0

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Part 07-Module 01-Lesson 01_Technical Interview - Python.zip 335.9 MB
Part 01-Module 01-Lesson 03_How to Solve Problems.zip 284.2 MB
Part 02-Module 01-Lesson 04_Trees.zip 206.6 MB
Part 05-Module 01-Lesson 02_Data Types and Operators.zip 186.7 MB
Part 05-Module 01-Lesson 04_Control Flow.zip 182.4 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile.zip 114.2 MB
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【压缩文件】 Data Analytics Using Splunk -Beginner to Intermediate Course

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【压缩文件】 Implementing a Data Management Strategy for an ASP.NET Core Microservices Architecture By Neil Morrissey

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【压缩文件】 [FreeCourseSite.com] Udemy - Python for Data Science and Machine Learning Bootcamp

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【压缩文件】 [CourserHub.com] Coursera - Data Science Statistics and Machine Learning Specialization

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regression-models/04_week-4-logistic-regression-and-poisson-regression/04_hodgepodge/02_hodgepodge.mp4 70.2 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/03_model-selection-part-ii.mp4 65.8 MB
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regression-models/03_week-3-multivariable-regression-residuals-diagnostics/02_multivariable-regression-tips-and-tricks/02_multivariable-regression-examples-part-ii.mp4 64.3 MB
statistical-inference/02_week-2-variability-distribution-asymptotics/03_module-7-asymptotics/04_07-03-asymptotics-and-confidence-intervals.mp4 49.5 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/05_model-selection/04_model-selection-part-iii.mp4 47.3 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/02_logistic-regression/02_logistic-regression-part-i.mp4 46.8 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/02_poisson-regression-part-i.mp4 46.7 MB
regression-models/03_week-3-multivariable-regression-residuals-diagnostics/03_adjustment/02_adjustment-examples.mp4 44.6 MB
regression-models/04_week-4-logistic-regression-and-poisson-regression/03_poisson-regression/03_poisson-regression-part-ii.mp4 41.1 MB
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