TCS iON ProCert - Python Designer
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About TCS iON ProCert - Python Designer
Working professionals or job seekers with 2 to 5 years of relevant work experience
Can be currently employed with TCS
Minimum 50% in 10th, 12th and Graduation
Assessment Details
Minutes Questions Marks
Proctored Remote Assessment covering key areas in Python Design, conducted online
Minutes Case Studies Marks
Case Study-based Assessment to test the application of Python Designing knowledge
Assessment Topics
+ Expand All - Collapse All- Statistics and its applications
- Descriptive and inferential statistics
- Sample or population data
- Mean, median, mode and range
- Standard deviation, variance and Bessel’s correction
- Line equations
- Interpolation and extrapolation
- Relationships, correlations and covariance
- Hypothesis testing
- Regression analysis
- Measures of central tendency, asymmetry and variability
- Distributions
- Why learn Python for data analysis?
- Python 2.7 v/s 3.8
- How to install Python on multiple platforms (Windows/Linux/Mac)?
- The Python shell and IPython notebook (Jupyter)
- Python if-else, if-elif and nested if statements
- Python loops - while, for, for else and nested loops
- Python data structures
- Comprehensions (list, dictionary)
- Operations on data structures
- Functions in Python, recursion, lambda, map, reduce, filter
- Object-Oriented Programming (OOP) in Python
- Object-oriented features in Python
- Programs based on OOPS
- Writing custom classes, creating objects, calling the class instance methods using objects
- Types of inheritance
- Method resolution order (MRO)
- ABC module, abstract classes and interfaces in Python
- Method overriding (runtime polymorphism)
- Exception handling in Python
- Module or library in Python
- Import statements
- Packages
- Regular expressions (RE or RegEx module)
- Overview and uses of different ML or Data Analytics libraries like: NumPy, SciPy, Pandas, Statsmodels, Blaze
- Overview and uses of libraries for visualization: Matplotlib, Seaborn, Bokeh
- Introduction to NumPy: ndarray object, NumPy data types, NumPy operations - universal functions
- Indexing, slicing and iterating
- Shape manipulation
- Stacking and Split array
- Introduction to Pandas
- Series and Datarames in Pandas
- Descriptive statistics using Pandas
- Iterations, sorting, selecting data
- Aggregations, missing data, group by, categorical data
- Exploratory Data Analysis: Initial Data Exploration, Univariate Analysis, Bivariate Analysis
- Identifying and handling of duplicate and missing data
- Correlation analysis
- Real-life problems and types of solutions
- Introduction to data munging
- Find and fixing invalid values
- Find and replace missing values
- Treating outliers and extreme values
- Transforming values
- Data visualization using Matplotlib and Seaborn
- Data loading
- Chart and graphs: bar, histogram, line, boxplot, scatter, pie, whisker plots, legends
Advantages of TCS iON ProCert - Python Designer
- Get Recognised - Gain recognition for your Python Designer experience and expertise
- Get an Edge - Stand out among your peers by enhancing your industry credibility
- Get Noticed - Get career opportunities in Python Design with top recruiters
Key Features
Available Assessment Centres
Andhra Pradesh
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