APPLIED DATA SCIENCE WITH PYTHON SPECIALIZATION
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Data science is one of the hottest professions of the decade. Data scientists who can handle , analyze data and contribute to data driven decisions and products are the need of the hour . Data science is an interdisciplinary field focused on extracting knowledge and making better decisions in various domains such as banking, finance, entertainment, healthcare, agriculture, sensors, instrumentation and robotics increasing the value of a data scientist. Hence, this course on Applied Data Science with Python is designed with the following objectives:
By the end of this course, the learners will be able to
Module -1- Introduction to Data Science, Python Data Structures, Python Numpy Package
Data Science - Need, Applications, Difference between data analysis and data analytics. Python- Variables, data types, control structures, Operators, Simple operations, Array and its operations, Numpy operations, Matrix and its operations
Module-2-Data preparation and preprocessing using Pandas dataframe, Exploratory Data Analysis, Data Visualization
Dealing missing values, Normalization, statistical description about the data, Accessing the data, Summary of the data, Relationship between the data, Data Visualization using matplotlib
Module-3-Supervised Learning Algorithms
Decision Tree Algorithm, ID3 Classifier, Random Forest, Classifier Accuracy, Linear Prediction, Logistic Regression – Case study
Module-4-Unsupervised Learning Algorithms
Various distance Function, Dissimilarity between the mixed types of data, K-Means Algorithm, K- Medoids Algorithm -Case Study
• Dr. C. Deisy
• Dr. S.Sridevi
• Dr. K.V.Uma
• Ms.S.Pudumalar