ASAP Kerala is an undertaking by the Higher Education Department of the Kerala Government that focuses on training students.
ASAP Kerala is an undertaking by the Higher Education Department of the Kerala Government that focuses on training students to improve their employability. The programme covers a wide variety of practical and theoretical concepts, tips and tricks, and best practices in the industry. It offers skills such as Core Python, SQL Database, Power BI, REST API, AWS, Apache Spark, Data Science and Machine Learning, which will help upskill students to become full-stack Python Developers or Data Engineers/ Managers.
Data Structures and Algorithms: The learners are acquainted with the fundamental in-built data types in the python language which include lists, dictionaries and sets. This module also introduces the student with basic algorithms for an order and searching as well as data management.
Data Manipulation with Pandas: Pandas is used to describe data sets and manipulate it to create the best analysis possible. It covers the operations such as being able to work with DataFrames, dealing with missing values, joining and merging of dataframes and working with groups. It is crucial for any data analyst or scientist to have some mastery of Pandas since it makes operations with data easy.
Numerical Computing with NumPy: This package offers support for both the array and matrix structures as well as a set of mathematical operations which can be performed on the given structures. This module focuses on the calculations and operations on arrays and working with multi-dimensional data.
Database Interaction with SQLAlchemy: SQLAlchemy is set of Python classes which are used to create, manage and manipulate database tables using SQL. This section deals with steps to link applications that are developed in python to databases, using SQl to run queries, and best practices when handling records.
Data Visualization: Therefore visualization is very important in the process of data interpretation. This unit further explains other libraries such as Matplotlib and Seaborn and students learn how to generate different types of plots and charts to map data.
Advanced Topics: Depending on the prior course level assumed this section may include components including, working with Apache Spark colossal data frameworks, a machine learning introduction, and Python integration with other data management instruments.
© 2024 Crivva - Business Promotion. All rights reserved.