Coursera – IBM Data Analyst Professional Certificate 2022-8 + Farsi Sub – Download

explanation

The IBM Data Analyst Professional Certificate, etc., consists of 8 courses to acquire the skills necessary for job analysis data, which can be used to perform data market analysis work (20% growth by 2028) % will experience ) I have a better place in mind. Your job analysis data strengthens your work and practical skills based on the principles of analysis data. You will be familiar with working with a variety of tank data, various scenarios and tools for data analysis (Excel, SQL, etc.), Python, Jupyter Notebooks, and Cognos Analytics, and applying analytical techniques. This course requires no prior coursework or programming experience or statistical skills and is suitable for students with or without a college degree. To get started, you’ll need to do all the work: literacy, basic computer, math, high school, number work, a desire to learn, and a desire to strengthen your profile skills to match industry values.

The training set includes:

I am qualified to use spreadsheets and apply Excel to perform various data analyzes including data wrangling and data mining.
Create a variety of charts in Excel and work with IBM Cognos Analytics to build dashboards and create data plots using Python with libraries such as Matplotlib.
Develop Python language knowledge for data analysis by using Library Python such as Pandas, Numpy, and calling APIs and web services.
Describe ecosystem data and sort jQuery to access data from online databases using SQL and Python, and Jupyter notebooks.

Specification period

Courses offered in the IBM Data Analyst Professional Certificate:

Course 1

Introduction to data analytics

Course 2

Excel basics for data analysis

Course 3

Data visualization and dashboards using Excel and Cognos

4 courses

Python for data science, AI, and development

5 courses

Python projects for data science

6 courses

Databases and SQL for Data Science with Python

Course 7

Data analysis using Python

8 courses

Data visualization using Python

9 courses

IBM Data Analyst Capstone Project

Prerequisite subjects

No special background or degree is required. However, you must have basic computer literacy, high school level math skills, and be good at working with numbers.