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IGTC01DA - Learning Data Science Understanding the Basics (EN)

01 - Introduction

01 - Welcome (1:34)

02 - 1. What Is Data Science

02 - Use statistics and software (4:18)
01 - Define a multidisciplinary practice with multiple meanings (3:41)
03 - Uncover insights and create knowledge (4:06)

03 - 2. Working with Databases

02 - Get data into warehouses using ETL (4:14)
01 - Make connections with relational databases (3:22)
03 - Let go of the past with NoSQL (4:21)
04 - Address big data problems (4:40)

04 - 3. Recognizing Different Data Types

02 - Share semistructured data (4:22)
01 - Keep things simple with structured data (4:54)
03 - Collect unstructured data (4:42)
04 - Sift through big garbage (4:02)

05 - 4. Applying Statistical Analysis

02 - Understand probability (4:28)
01 - Start out with descriptive statistics (4:36)
03 - Find a correlation (4:36)
04 - See how correlation does not imply causation (4:15)
05 - Comb techniques for predictive analytics (4:31)

06 - 5. Avoiding Pitfalls

01 - Focus on knowledge (4:43)

07 - Conclusion

01 - Next steps (0:56)

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