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How to Read a CSV File from Amazon S3 Using Python (With Headers and Rows Displayed)

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  Introduction If you’re working with cloud data, especially on AWS, chances are you’ll encounter data stored in CSV files inside an Amazon S3 bucket . Whether you're building a data pipeline or a quick analysis tool, reading data directly from S3 in Python is a fast, reliable, and scalable way to get started. In this blog post, we’ll walk through: Setting up access to S3 Reading a CSV file using Python and Boto3 Displaying headers and rows Tips to handle larger datasets Let’s jump in! What You’ll Need An AWS account An S3 bucket with a CSV file uploaded AWS credentials (access key and secret key) Python 3.x installed boto3 and pandas libraries installed (you can install them via pip) pip install boto3 pandas Step-by-Step: Read CSV from S3 Let’s say your S3 bucket is named my-data-bucket , and your CSV file is sample-data/employees.csv . ✅ Step 1: Import Required Libraries import boto3 import pandas as pd from io import StringIO boto3 is...
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Data Analytics Tutorial for COBOL Programmers

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Mainframe developers look for an alternative IT course to grow in their careers. I have explained in this post how can they use their business knowledge. Data analytics tutorial is a top an alternative for COBOL programmers.

analytics tutorial for COBOL developers

What is Data Analytics

The field of data science is evolving into one of the fastest-growing and most in-demand fields in the world. 

Organizations across industries are looking to make sense of the data they can now collect from new technologies – from predicting the next hot product to determining the risk of an infectious disease outbreak.

Demand and Opportunity

  • According to The New York Times, data science “promises to revolutionize industries from business to government, health care to academia.”
  • As data accumulates, organizations are hiring individuals with the expertise to find meaning in the numbers and drive positive business decisions based on what they learn.
  • It is estimated that by 2018, 4 million to 5 million jobs in the United States will require data analysis skills, and a recent study from the McKinsey Global Institute found “a shortage of the analytical and managerial talent necessary to make the most of Big Data is a significant and pressing challenge (for the U.S.).”
  • Based on the number of job openings, median base salary and career opportunities, Glassdoor has ranked data scientist as the “Best Job in America”.

Who can opt for Data Analytics Tutorial

  1. Strong interest in data science 
  2. Background in intro level statistics 
  3. Programming experience in Python for Data Science 
  4. Understanding of programming concepts such as variables, functions, loops, and basic python data structures like lists and dictionaries
Start Your Free Data analytics Tutorial here.

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