Applied Data Science with Python Specialization
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COURSE DATES AND LOCATIONS
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Duration
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INTRODUCTION
Data science is one of the most controversial jobs of the meantime. Data scientists,s job description is to 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. The course provides path to start career in Data Analysis. Importance of Data, Collection of Data with Case Study is covered.
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COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Conduct an inferential statistical analysis.
- Enhance a data analysis with applied machine learning
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Python Basic to Advance Concept
- Analyze the need for data preprocessing and visualization techniques.
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Make powerful analysis
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Problem Solving Approach
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COURSE AUDIENCE
This course is made for :
- Data scientist
- IT specialist
- Data analyst
- Sales and Marketing employees
- Data engineer
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COURSE OUTLINE
Day One
Fundamentals of Data Manipulation with Python
- Python Functions
- Python Types and Sequence
- Python Dates and Times
- Manipulating Text with Regular Expression
Day Two
Principles of Information Visualization
- Tools for Thinking about Design
- The Effects of Visual Embellishment on Comprehension and Memorability of Charts
- Matplotlib Architecture and Scatterplots
- Mapping and Geographic Investigation
Day Three
Machine Learning
- Introduction to machine learning
- Overfitting and Underfitting
- Classification and Regression
- Cross-Validation
Day Four
Working with Data in Python
- Writing Files with Open
- Loading Data with Pandas
- Pandas: Working with and Saving Data
Day Five
Python Programming Fundamentals
- Condition and Branching
- loops and Functions
- Exception Handling
