IBM Data Analyst Professional Certificate Free

Start mastering Data Analyst today with “IBM Data Analyst Professional Certificate Free” and Prepare for a career as a data analyst. Build job-ready skills

Professional Certificate – 11 course series

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

Data analysis is the process of collecting, storing, modeling, and analyzing data that can inform executive decision-making, and the demand for skilled data analysts has never been greater.

This program will teach you the foundational data skills employers are seeking for entry-level data analytics roles. It will not only help you start your career in data analytics, but also provides a strong foundation for future career development in other paths such as data science, artificial intelligence, deep learning, or data engineering.

You’ll learn the latest skills and tools used by professional data analysts including Excel spreadsheets, Python, Pandas, Numpy, Jupyter Notebooks, Cognos Analytics, and more. You’ll work with a variety of data sources and project scenarios to gain practical experience with data manipulation and applying analytical skills. You’ll also have the option to learn how generative AI tools and techniques are used in data analysis.

In addition to a portfolio of projects and a Professional Certificate from IBM to showcase your expertise, you’ll earn an IBM Digital badge and gain access to career resources to help you in your job search.

This program is ACE® and FIBAA recommended—when you complete, you can earn up to 12 college credits and 6 ECTS credits.

Applied Learning Project

Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the required technical skills to effectively gather, wrangle, mine, and visualize data, as well as the soft skills for working with stakeholders and storytelling with data to engage your audience.

Projects

Import, clean, and analyze fleet vehicle inventory with Excel pivot tables
Use car sales key performance indicator (KPI) data to create an interactive dashboard with visualizations
Extract and graph financial data with the Pandas data analysis Python library
Use SQL to query census, crime, and school demographic data sets
Wrangle data, graph plots, and create regression models to predict housing prices with data science Python libraries
Create a dynamic Python dashboard to monitor, report, and improve US domestic flight reliability

At the end of the program, you complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.

Course Name	Original Source	Category	Publisher
IBM Data Analyst Professional Certificate	https://www.coursera.org/professional-certificates/ibm-data-analyst	IBM	Coursera

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐

👉INTRODUCTION TO DATA ANALYTICS
0:00:00 Modern Data Ecosystem and the Role of data analytics
0:21:48 The Data Analyst Role
0:39:39 The Data Ecosystem and Language for Data Professionals
1:08:41 Understandig Data Repositories and Big Data platforms
1:47:03 Gathering Data
2:03:47 Wrangling Data
2:26:55 Analyzing and Mining Data
2:46:33 Communicating Data Analysis Findings
3:11:19 Opportunities and Learning Paths

👉EXCEL BASICS FOR DATA ANALYSIS
3:40:06 Introduction to Spreadsheets for Data Analysis
4:06:37 Getting Started Using Spreadsheets
4:42:03 Basics of Data Quality and Privacy
5:01:55 Cleaning Data
5:30:02 Data Analysis Basics Filtering and Sorting Data
6:05:57 Using Pivot Tables

👉DATA VISUALIZATION AND DASHBOARDS EXCEL AND COGNOS
6:26:48 Creating Charts
6:50:32 Creating Advanced Charts
7:04:27 Creating Dashboards Using Spreadsheets
7:21:39 Creating Dashboards using IBM Cognos Analytics

👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
7:35:08 Types
7:38:11 Expressions and Variables
7:42:06 String Operations
7:46:04 Lists and Tuples
7:54:56 Dictionaries
7:57:21 Sets
8:02:39 Conditions and Branching
8:12:56 Loops
8:19:42 Functions
8:33:14 Exception Handling
8:37:03 Objects and Classes
8:47:56 Reading Writing files with open
8:54:34 Pandas
8:59:43 Numpy in Python
9:18:21 Simple APIs
9:28:41 REST APIs Webscraping and Working with Files

👉PYTHON PROJECT FOR DATA SCIENCE
9:51:59 Optional Intro to Webscraping

👉DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
10:01:58 Basic SQL
10:20:58 Introduction to Relational Databases and tables
10:43:05 Refining your Results
10:53:59 Functions Multiple Tables and Sub Queries
11:14:43 Accessing Databases Using Python
11:41:55 Assignment Preparing working with real world data sets and build in SQL
11:54:53 View Stored Procedures and Transactions
12:05:41 Join Statements

👉DATA ANALYSIS WITH PYTHON
12:18:16 Import Datasets
12:38:02 Data Wrangling
12:57:26 Exploratory Data Analysis
13:17:06 Model Development
13:44:31 Model Evaluation and Refinement

👉DATA VISUALIZATION WITH PYTHON
14:05:42 Welcome
14:10:13 Introduction to Data Visualization
14:32:21 Basic Visualization tools
14:45:36 Specialized Visualization tools
14:58:24 Advanced Visualization tools
15:03:48 Visualization Geospatial Data
15:13:06 Creating dashboards with plotly and dash

👉IBM DATA ANALYST CAPSTONE PROJECT
15:30:37 Welcome to the Course
15:33:49 How to Present your Findings

Coursera, Data Analyst, IBM

IBM Data Analyst Professional Certificate

Start mastering Data Analyst today with “IBM Data Analyst Professional Certificate Free” and Prepare for a career as a data analyst. Build job-ready skills

Add your first comment to this post

Navigation

Platforms

Subscribe to Our Newsletter