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The Python Course covers both basic and advanced concepts of Python, such as writing Python scripts, sequence and file operations, object-oriented concepts, and web scraping. During this online Python Training, you will learn many essential and widely used Python libraries such as Pandas, NumPy, Matplotlib, among others.
In this online Python training course, you will learn Python, which is a premier, flexible, and powerful open-source language. Python is easy to learn, easy to use and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as Finance, Oil and Gas, Physics, Signal Processing, etc, which has, in turn, increased the demand for Python certification training. Today, it is the most preferred language for Artificial Intelligence (AI), Robotics, Web Development, and DevOps.
Upon completing this course, you will be able to:
This Python Certification training is a good fit for the below professionals:
There are no specific prerequisites for taking up the Python Training Course Online. However, a basic understanding of Computer Programming terminologies is beneficial.
Python Programming Certification
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Case Study #1:
Problem Statement: FinBank is the latest entrant in the banking market of Thailand. For opening a bank account, verification was manual through the photocopy of the approved id card document till now. However, they have recently introduced a system where the customers’ fingerprint will be mapped with the newly introduced Unique Id for citizens of Thailand by the government of Thailand. FinBank should now verify customers against the fingerprint and Unique Id.
Case Study #2:
Problem Statement: Bank of Portugal runs a marketing campaign to offer loans to clients. The loan is offered to only clients with professions. A list of successful campaigns (with client data) is given in the attached dataset. You must come up with a program which reads the file and builds a set of unique profession list and when the profession data of the client is fed, the system must be able to tell whether the client in question is eligible for the loan.
Case Study #3:
Problem Statement: GoodsKart—largest e-commerce company in Indonesia with a revenue of $2B+ acquired another e-commerce company FairDeal. FairDeal has its own IT system to maintain records of a customer, sales, etc. For ease of maintenance and cost savings, GoodsKart is integrating customer databases of both the organizations; hence customer data of FairDeal has to be converted in GoodsKart Customer Format.
Case Study #4:
Problem Statement: You are a data analyst with University of California,? USA University has data of Maths, Physics and Data Structure score of sophomore students. This data is stored in different files. University has hired a data science company to do an analysis of scores and find if there is any correlation of score with age, ethnicity, etc. Before the data is given to the company, you are required to do data wrangling.
Case Study #5:
Problem Statement: BigMart is one of the biggest retailers in Europe and has operations across multiple countries. You are a data analyst in the IT team of BigMart. Invoice and SKU wise Sales Data for the Year 2011 is shared with you. It would help if you prepared meaningful charts to showcase the various sales trends for 2011 to top management.Project 2
Domain: 911 Calls
Problem Statement:For this capstone project, we will be analyzing 911 call data from Kaggle. This data is from Montgomery County in the Pennsylvania State of USA. 911 is the most important social security feature in the USA. Citizens can call on 911 in case of any emergencies such as crime, medical, traffic, fire, etc. As a data analyst, you must analyze and visualize the data and answer the question in the section.Project 3
Problem Statement:A new Indian start-up, "MyNextBooking” is a data aggregator for top platforms (Yatra, MMT, Goibibo). It helps the user compare prices for their upcoming journeys on its platform and the customer is redirected to the desired platform after looking at the price. However, they need to do a lot of analysis of the data which they have collected over a period. Your role is to help them perform an in-depth analysis of the data.Project 4
Problem Statement:In this project, we will analyse data from the stock market for some technology stocks such as Apple, Google, Amazon and Microsoft. We will be making use of the Python libraries such as Pandas, Seaborn and Matplotlib to extract and analyse the information, visualise it, and look at different ways to analyse the risk of a stock, based on its performance history.
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