CS3361 Data Science Laboratory Study Materials
Anna University – CS3361 Data Science Laboratory Regulation 2021 Syllabus, Notes, Lab Manual Important Questions, Question Paper with Answers, Previous Year Question Paper.
COURSE OBJECTIVES: CS3361 Data Science Laboratory
To understand the python libraries for data science
To understand the basic Statistical and Probability measures for data science.
To learn descriptive analytics on the benchmark data sets.
To apply correlation and regression analytics on standard data sets.
To present and interpret data using visualization packages in Python.
LIST OF EXPERIMENTS:
1. Download, install and explore the features of NumPy, SciPy, Jupyter, Statsmodels and Pandas packages.
2. Working with Numpy arrays
3. Working with Pandas data frames
4. Reading data from text files, Excel and the web and exploring various commands for doing descriptive analytics on the Iris data set. CS3361 Data Science Laboratory
5. Use the diabetes data set from UCI and Pima Indians Diabetes data set for performing the following:
a. Univariate analysis: Frequency, Mean, Median, Mode, Variance, Standard Deviation, Skewness and Kurtosis.
b. Bivariate analysis: Linear and logistic regression modeling
c. Multiple Regression analysis
d. Also compare the results of the above analysis for the two data sets.
6. Apply and explore various plotting functions on UCI data sets.
a. Normal curves
b. Density and contour plots
c. Correlation and scatter plots
d. Histograms CS3361 Data Science Laboratory Lab Manual
e. Three dimensional plotting
7. Visualizing Geographic Data with Basemap
| Syllabus | Click Here |
| Notes | Click Here |
| Lab Manual | Click Here |
| Previous Year Question Paper | Click Here |
| Question Bank | Click Here |
COURSE OUTCOMES: CS3361 Data Science Laboratory
At the end of this course, the students will be able to:
CO1: Make use of the python libraries for data science
CO2: Make use of the basic Statistical and Probability measures for data science. Lab Manual
CO3: Perform descriptive analytics on the benchmark data sets.
CO4: Perform correlation and regression analytics on standard data sets CS3361 Data Science Laboratory
CO5: Present and interpret data using visualization packages in Python.
Related Links
Anna University Syllabus Regulation 2021
Anna University Regulation 2021 Study Materials