1

Etapa 1

Intro to Python for Data Science

2

Etapa 2

Intermediate Python for Data Science

3

Etapa 3

Python Data Science Toolbox (Part 1)

4

Etapa 4

Python Data Science Toolbox (Part 2)

5

Etapa 5

Importing Data in Python (Part 1)

6

Etapa 6

Importing Data in Python (Part 2)

7

Etapa 7

Cleaning Data in Python

8

Etapa 8

Pandas Foundations

9

Etapa 9

Manipulating DataFrames with pandas

10

Etapa 10

Merging DataFrames with pandas

11

Etapa 11

Introduction to Databases in Python

12

Etapa 12

Introduction to Data Visualization with Python

13

Etapa 13

Interactive Data Visualization with Bokeh

14

Etapa 14

Statistical Thinking in Python (Part 1)

15

Etapa 15

Statistical Thinking in Python (Part 2)

16

Etapa 16

Supervised Learning with scikit-learn

17

Etapa 17

Machine Learning with the Experts: School Budgets

18

Etapa 18

Unsupervised Learning in Python

19

Etapa 19

Deep Learning in Python

20

Etapa 20

Network Analysis in Python (Part 1)

21

Etapa 21

STATEMENT OF ACCOMPLISHMENT

1

Etapa 1

Intro to Python for Data Science

2

Etapa 2

Intermediate Python for Data Science

3

Etapa 3

Python Data Science Toolbox (Part 1)

4

Etapa 4

Python Data Science Toolbox (Part 2)

5

Etapa 5

Importing Data in Python (Part 1)

6

Etapa 6

Importing Data in Python (Part 2)

7

Etapa 7

Cleaning Data in Python

8

Etapa 8

Pandas Foundations

9

Etapa 9

Manipulating DataFrames with pandas

10

Etapa 10

Merging DataFrames with pandas

11

Etapa 11

Introduction to Databases in Python

12

Etapa 12

Introduction to Data Visualization with Python

13

Etapa 13

Interactive Data Visualization with Bokeh

14

Etapa 14

Statistical Thinking in Python (Part 1)

15

Etapa 15

Statistical Thinking in Python (Part 2)

16

Etapa 16

Supervised Learning with scikit-learn

17

Etapa 17

Machine Learning with the Experts: School Budgets

18

Etapa 18

Unsupervised Learning in Python

19

Etapa 19

Deep Learning in Python

20

Etapa 20

Network Analysis in Python (Part 1)

21

Etapa 21

STATEMENT OF ACCOMPLISHMENT

29 julio 2018
Objetivo completado 8 agosto 2018

Autor del objetivo

Carrera y trabajo

DataCamp. Data Scientist with Python

Маленькая часть моей большой цели тык

 Criterio del fin

Все 22 пункта пройдены, законспектированны, составлены шпаргалки

Ежедневный отчет о проделанной работе, общее время цели.

 Recursos personales

время( около 200 часов), деньги(минимум 30 $ на подписку), два ствола (если соседи снова будут мешать заниматься)

  1. Intro to Python for Data Science

    Coste de la etapa — 30 $

  2. Intermediate Python for Data Science

  3. Python Data Science Toolbox (Part 1)

  4. Python Data Science Toolbox (Part 2)

  5. Importing Data in Python (Part 1)

  6. Importing Data in Python (Part 2)

  7. Cleaning Data in Python

  8. Pandas Foundations

  9. Manipulating DataFrames with pandas

  10. Merging DataFrames with pandas

  11. Introduction to Databases in Python

  12. Introduction to Data Visualization with Python

  13. Interactive Data Visualization with Bokeh

  14. Statistical Thinking in Python (Part 1)

  15. Statistical Thinking in Python (Part 2)

  16. Supervised Learning with scikit-learn

  17. Machine Learning with the Experts: School Budgets

  18. Unsupervised Learning in Python

  19. Deep Learning in Python

  20. Network Analysis in Python (Part 1)

  21. STATEMENT OF ACCOMPLISHMENT

  • 1222
  • 29 julio 2018, 00:05
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