(1.) Introduction to Python ... dc01_intro-py-for-ds.py
(2.) Intermediate Python for Data Science ... dc02_intermed-py-ds.py
(3.) Python Data Science Toolbox (Part 1) ... dc03_py-ds-toolbox1.py
(4.) Python Data Science Toolbox (Part 2) ... dc04_py-ds-toolbox2.py
(5.) Importing Data in Python (Part 1) ... dc05_import-data-py1.py
(6.) Importing Data in Python (Part 2) ... dc06_import-data-py2.py
(7.) Cleaning Data in Python ... dc07_clean-data-py.py
(8.) pandas Foundations ... dc08_pd-fundations.py
(9.) Manipulating DataFrames with pandas ... dc09_manipulate-df-pd.py
(10.) Merging DataFrames with pandas ... dc10_merge-df-with-pd.py
(11.) Analyzing Police Activity with pandas ... dc11_analyze-police-pd.py
(12.) Intro to SQL for Data Science ... dc12_intro-sql-ds.py
(13.) Intro to Relational Databases in SQL ... dc13_intro-relational-sql.py
(14.) Intro to Data Visualization with Python ... dc14_intro-data-vis-py.py
(15.) Interactive Data Visualization with Bokeh on DataCamp ... dc15_data-vis-bokeh.py
(16.) Statistical Thinking in Python (Part 1) ... dc16_stat-thinking-py1.py
(17.) Statistical Thinking in Python (Part 2) ... dc17_stat-thinking-py2.py
(18.) Joining Data in SQL ... dc18_joining-data-sql.py
(19.) Intro to Shell for Data Science ... dc19_intro-shell-ds.py
(20.) Conda Essentials ... dc20_conda-essentials.py
(21.) Supervised Learning with scikit-learn ... dc21_sl-with-scikit-learn.py
(22.) Machine Learning with the Experts: School Budgets ... dc22_ml-with-experts.py
(23.) Unsupervised Learning in Python ... dc23_unsupervise-learn.py
(24.) Machine Learning with Tree-Based Models in Python ... dc24_ml-tree-models.py
(25.) Deep Learning in Python ... dc25_deep-learning.py
(26.) Machine Learning with Tree-Based Models in Python ... dc26_network-analysis1.py