Coursera – IBM Data Analyst Professional Certificate 2021-2

Coursera – IBM Data Analyst Professional Certificate 2021-2

Description

IBM Data Analyst Professional Certificate is a set of 8 different courses to gain the necessary skills for the job of data analysis, which can be used to have a better place in the data analysis job market (which will experience 20% growth by 2028). Strengthen your data analysis job with data analysis principles and gain practical skills. You will be introduced to a variety of data repositories, different scenarios, and various data analysis tools including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics and the application of analytics techniques. This course does not require any previous programming experience or statistical skills and is also suitable for learners with or without a university degree. All you need to get started is basic computer literacy, high school math, working with numbers, a desire to learn, and a desire to reinforce your profile with valuable skills.

Items that are taught in this collection

Expertise in using spreadsheets and using Excel to perform types of data analysis such as data wrangling and data mining

Build a variety of charts in Excel and work with IBM Cognos Analytics to build dashboards and visualize data using Python libraries like Matplotlib

Develop work knowledge of Python language for data analysis using Python libraries such as Pandas and Numpy and call APIs and web services

Describe the data ecosystem and sort queries to access data in online databases using SQL and Python from Jupyter notebooks

Course information

Publisher: Coursera

University: IBM

Teachers: Rav Ahuja, Sandip Saha Joy, Steve Ryan, Kevin McFaul, Joseph Santarcangelo, Hima Vasudevan, Alex Aklson, Ramesh Sannareddy, Saishruthi Swaminathan

Elementary level

Number of courses: 8 courses

English language

Courses offered in the IBM Data Analyst Professional Certificate

1.Introduction to Data Analytics

2.Excel Basics for Data Analysis

3.Data Visualization and Dashboards with Excel and Cognos

4.Python for Data Science and AI

5.Databases and SQL for Data Science

6.Data Analysis with Python

7.Data Visualization with Python

8.IBM Data Analyst Capstone Project

Prerequisite

No specialized background or degree is needed. However you are expected to have basic computer literacy, high-school level mathematics, and be comfortable working with numbers.

Installation

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Subtitles: English, Arabic, German, Russian and.

Quality: 720p

This training includes 8 separate courses.

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Coursera – IBM Data Analyst Professional Certificate 2021-2

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