The IBM Data Analyst Professional Certificate is a comprehensive program designed to equip individuals with the skills and knowledge necessary to excel in the field of data analysis. This certification is offered by IBM, a global leader in technology and innovation.

Practical exercises and resources from the 9-course IBM Data Analyst Professional Certificate program, featuring core data skills with Python, Cognos Analytics, and end-to-end capstone project

Dask app as a part of the IBM Data Analyst Certification program

Successfully finished my Capstone project for Masters Program: Data Analyst from Simplilearn in collaboration with IBM.

This repository showcases my IBM Data Analyst Capstone Project, where I analyze in-demand programming skills through data collection, wrangling, visualization, and interactive dashboards.

This project is part of the IBM Data Analyst Professional Certificate which shows the demand and demographics of different programming languages in the past and the future.

Data Analysis Project to earn the certification of "IBM Data Analyst" based on the analysis of different sources of data related to the current and future IT trends, as programming languages, databases, platforms and demographic information.

This repository contains all project solutions from the IBM Data Analyst Certificate program. These projects cover a range of topics in data analytics, offering hands-on experience with real-world datasets, tools, and techniques.

For Data Analysts and Data Scientists, Python has many advantages. A huge range of open-source libraries make it an incredibly useful tool for any Data Analyst. We have pandas, NumPy and Vaex for data analysis, Matplotlib, seaborn and Bokeh for visualisation, and TensorFlow, scikit-learn and PyTorch for machine learning applications (plus many, many more). With its (relatively) easy learning curve and versatility, it's no wonder that Python is one of the fastest-growing programming languages out there. So if we're using Python for data analysis, it's worth asking - where does all this data come from? While there is a massive variety of sources for datasets, in many cases - particularly in enterprise businesses - data is going to be stored in a relational database. Relational databases are an extremely efficient, powerful and widely-used way to create, read, update and delete data of all kinds. The most widely used relational database management systems (RDBMSs) - Oracle, MySQL, Microsoft SQL Server, PostgreSQL, IBM DB2 - all use the Structured Query Language (SQL) to access and make changes to the data. Note that each RDBMS uses a slightly different flavour of SQL, so SQL code written for one will usually not work in another without (normally fairly minor) modifications. But the concepts, structures and operations are largely identical. This means for a working Data Analyst, a strong understanding of SQL is hugely important. Knowing how to use Python and SQL together will give you even more of an advantage when it comes to working with your data.

IBM Data Analyst Program

Repository for notebooks and other resources used to complete the IBM Data Analyst Program.

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IBM data Analyst Program -week1-9

Hands-on activities and Capstone Project

IBM Data Analyst Programs Final Project

IBM Data Analyst Professional Certification Program & Notebooks

data-scraping project for IBM Data Analyst graduation program

IBM Data Analyst professionale certificate program final project.

Lab work for Coursera IBM Data Analyst program

Files related to IBM Data Analyst Professional Certificate program

Dashboards created for the IBM Data Analyst Program Capstone Project

Collection of projects from IBM's Data Analyst Certificate Program.

Python Project for Course 5 of IBM Data Analyst Cert program

COVID-19 EDA report for IBM Skills Build Data Analyst Program

PCI Data Breach Case Study (Capstone Project) for IBM Cybersecurity Analyst Program

Hands on lab that analyzes historical stock/revenue data through IBM Data Analyst Professional Certificate Program

Final Assignment for the Applied Data Analytics Capstone module under the IBM Data Analyst Professional Certificate program

this repository will include projects I am doing through the IBM data analyst certificate program.

Data visualization project using Excel and Google Looker Studio, built during the IBM Data Analyst Certificate program.

This is a step towards the data analyst certificate for the online IBM trainning program