Python Training in Hyderabad
Call @ 7997457228. Eclasess institute offers the best Python Training in Hyderabad with hands-on practice on live projects and 100% job assistance.
Python is a general-purpose interpreted, interactive, object-oriented, and high-level programming language. Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis
What are the Python Course Pre-requisites
There are no hard pre-requisites. Basic understanding of Computer Programming terminologies is sufficient. Also, basic concepts related to Programming and Database is beeficial but not mandatory.
Python Course Content
- Week 1: Python Fundamentals
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Day 1: Introduction to Python
- Python installation and setup
- Introduction to Jupyter Notebooks
- Basic syntax, variables, and data types
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Day 2: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
- Break and continue statements
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Day 3: Functions and Modules
- Defining and calling functions
- Function arguments and return values
- Importing and using modules
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Day 4: Data Structures
- Lists and list operations
- Tuples and tuple operations
- Dictionaries and dictionary operations
- Sets and set operations
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Day 5: Working with Strings
- String methods and formatting
- Regular expressions
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Day 6: File Handling
- Reading from and writing to files
- Working with different file types (txt, csv)
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Day 7: Error Handling and Exceptions
- Try, except, finally
- Custom exceptions
- Week 2: Numpy and Pandas Basics
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Day 8: Introduction to NumPy
- NumPy arrays and basic operations
- Array indexing and slicing
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Day 9: NumPy Continued
- Mathematical functions with NumPy
- Broadcasting and vectorized operations
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Day 10: Introduction to Pandas
- Series and DataFrame creation
- Basic DataFrame operations
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Day 11: DataFrame Manipulation
- Indexing and selecting data
- Handling missing data
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Day 12: Data Cleaning with Pandas
- Renaming columns, dropping columns
- Changing data types
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Day 13: Working with Dates and Times
- Date and time manipulation with Pandas
- Time series analysis basics
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Day 14: Data Aggregation and Grouping
- GroupBy operations
- Aggregation functions
- Week 3: Data Visualization
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Day 15: Introduction to Matplotlib
- Basic plotting with Matplotlib
- Customizing plots (titles, labels, legends)
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Day 16: Advanced Matplotlib
- Subplots and multiple plots
- Saving and exporting plots
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Day 17: Introduction to Seaborn
- Basic plots with Seaborn
- Statistical plots
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Day 18: Advanced Seaborn
- Customizing Seaborn plots
- Pairplots and heatmaps
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Day 19: Plotly and Interactive Visualizations
- Introduction to Plotly
- Creating interactive plots
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Day 20: Data Visualization Projects
- Descriptive statistics
- Visualizing distributions and relationships
- Week 4: Data Preprocessing and Case Studies
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Day 21: Data Preprocessing
- Feature engineering
- Data transformation and scaling
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Day 22: Case Study
- Guided project: Analyzing a real-world dataset (e.g., Titanic dataset, financial data, etc.)
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Day 23: Capstone Project
- Define your own project
- Collect, clean, and analyze the data
- Present your findings with visualizations
To Speak With an Expert
+91 7997457228
- Duration 90 Hours
- Students 5616
- Days 90 Days
- Resume Preparation Yes
- Interview Guidance Yes
