Data Analytics Using Python
Training in Chennai
Module 1
- Introduction to Business Analytics
- Why Analytics?
- Traditional Data Management and Analytical tools
- Types of Analytics
- Hind sight, ore sight and insight
- Dimensions and measures
Module 2
- Introduction to Python
- Basics of Python
- Starting with python interpreter
- Control flow statements
- List,tuple,Dictionary and other data structures
- Lambda with mapper,reduce and filter
- List and dictionary comprehension
Module 3
- Advanced concepts
- Writing functions
- File operations in python
- Error handling and raise exceptions
- What is a module?
- Sys module and regular expressions
- Working with classes
- Standard libraries
Module 4
- Data science packages in python
- Numpy
- scipy
- pandas and matplotlib
- seaborn
- scikit
Module 5
- Web scraping and Database handling
- Scraping Webpages
- Beautifulsoup package
- Real time project with web scraping
- Handling database with python
Module 6
- Introduction to Machine learning
- What is machine learning?
- Introduction to statistics
- Types of Learning
- Hypothesis space,inductive bias
- Evaluation of hypothesis
Module 7
- Machine Learning Algorithms
- Linear regression algorithm
- Decision tree algorithm
- Linear regression vs Logistic regression
- KNN algorithm
- Clustering with k-means
- Building models and evalution with Scikit
Module 8
- Introduction to Big data
- Hadoop ecosystem
- HDFS
- Mapreduce
- Hive
Module 9
- Case studies