1 Create an ETL in Python and SQL.mp4 (3.61 MB)
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2 Tools used in this course.mp4 (2.82 MB)
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1 What are ETLs and how do you create them.mp4 (7.02 MB)
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2 ETL process overview.mp4 (12.53 MB)
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3 Exploring your data with pandas Python and SQL.mp4 (7.75 MB)
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4 Understanding your data.mp4 (12.35 MB)
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5 Challenge- Reading data using Python.mp4 (2.26 MB)
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6 Solution- Reading data using Python.mp4 (11.45 MB)
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1 Loading data from different sources.mp4 (14.61 MB)
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2 Extracting your data.mp4 (7.19 MB)
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3 Cleaning preprocessing data and data formatting.mp4 (10.09 MB)
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4 Standardization handling duplicates and missing values.mp4 (21.32 MB)
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5 Challenge- Extract and transform data using pandas.mp4 (1.17 MB)
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6 Solution- Extract and transform data using pandas.mp4 (13.59 MB)
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1 Introduction to data warehouses and data lakes.mp4 (10.65 MB)
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2 Loading data into relational databases.mp4 (31.75 MB)
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3 Data quality checks and validation with SQL.mp4 (9.97 MB)
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4 Challenge- Transform the data and remove duplicates and nulls.mp4 (1.42 MB)
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5 Solution- Transform the data and remove duplicates and nulls.mp4 (10.22 MB)
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1 Querying your data with SQL.mp4 (11.25 MB)
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2 Scheduling ETL jobs with Airflow- Part 1.mp4 (23.79 MB)
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3 Scheduling ETL jobs with Airflow- Part 2.mp4 (14.38 MB)
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4 Challenge- Load the data into a database and automate.mp4 (1.57 MB)
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5 Solution- Load the data into a database and automate.mp4 (9.44 MB)
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1 Expand your knowledge of ETLs.mp4 (2.21 MB)
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Ex Files ETL Python SQL.zip (470.45 KB)
ZIP