Get-Started-with-Python

What Does Course Teaches?

-Define what a programming language is and why Python is used by data scientists

-Create Python scripts to display data and perform operations

-Control the flow of programs using conditions and functions

-Utilize different types of loops when performing repeated operations

-Identify data types such as integers, floats, strings, and booleans

-Manipulate data structures such as , lists, tuples, dictionaries, and sets

-Import and use Python libraries such as NumPy and pandas

Certificate Link: https://coursera.org/share/fe669b55269bebbc81c447bba4ddaa71

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Activity_ Arrays and vectors with NumPy.ipynb		Activity_ Arrays and vectors with NumPy.ipynb
Activity_ Conditional statements.ipynb		Activity_ Conditional statements.ipynb
Activity_ Dataframes with pandas.ipynb		Activity_ Dataframes with pandas.ipynb
Activity_ Dictionaries & sets.ipynb		Activity_ Dictionaries & sets.ipynb
Activity_ For loops.ipynb		Activity_ For loops.ipynb
Activity_ Functions.ipynb		Activity_ Functions.ipynb
Activity_ Lists & tuples.ipynb		Activity_ Lists & tuples.ipynb
Activity_ Strings.ipynb		Activity_ Strings.ipynb
Activity_ While loops.ipynb		Activity_ While loops.ipynb
Activity_Course 2 Waze project lab.ipynb		Activity_Course 2 Waze project lab.ipynb
Activity_Use Python syntax.ipynb		Activity_Use Python syntax.ipynb
Annotated follow-along guide_Data structures in Python.ipynb		Annotated follow-along guide_Data structures in Python.ipynb
Annotated follow-along guide_Functions and conditional statements.ipynb		Annotated follow-along guide_Functions and conditional statements.ipynb
Annotated follow-along guide_Hello, Python!.ipynb		Annotated follow-along guide_Hello, Python!.ipynb
Annotated follow-along guide_Loops and strings.ipynb		Annotated follow-along guide_Loops and strings.ipynb
Certificate_Get_With_Python.pdf		Certificate_Get_With_Python.pdf
Exemplar_ Arrays and vectors with NumPy.ipynb		Exemplar_ Arrays and vectors with NumPy.ipynb
Exemplar_ Conditional statements.ipynb		Exemplar_ Conditional statements.ipynb
Exemplar_ Dataframes with pandas.ipynb		Exemplar_ Dataframes with pandas.ipynb
Exemplar_ Dictionaries & sets.ipynb		Exemplar_ Dictionaries & sets.ipynb
Exemplar_ For loops.ipynb		Exemplar_ For loops.ipynb
Exemplar_ Functions.ipynb		Exemplar_ Functions.ipynb
Exemplar_ Lists & tuples.ipynb		Exemplar_ Lists & tuples.ipynb
Exemplar_ Strings.ipynb		Exemplar_ Strings.ipynb
Exemplar_ While loops.ipynb		Exemplar_ While loops.ipynb
Exemplar_Course 2 Waze project lab.ipynb		Exemplar_Course 2 Waze project lab.ipynb
Exemplar_Use Python syntax.ipynb		Exemplar_Use Python syntax.ipynb
README.md		README.md
ada_c2_labs.py		ada_c2_labs.py
c2_epa_air_quality.csv		c2_epa_air_quality.csv
epa_ca_tx_pa.csv		epa_ca_tx_pa.csv
epa_others.csv		epa_others.csv
train.csv		train.csv
waze_dataset.csv		waze_dataset.csv

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