5 Best IBM Courses You Must Know in 2024

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Are you looking for Best Data Analytics Courses for Beginners?… And what if I tell you, IBM is providing some Best Free Courses to kick start your Data Analytics Journey. Yes, then this article is for you. In this article, you will find the 5 best Data Analytics Courses  by IBM. At the end of this article, you will also find some Free Online Data Analytics Courses by IBM.

So give your few minutes to this article and check out these Best Data Analytics Certifications for Beginners.

Now without any further ado, let’s get started-

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5 IBM Data Analytics Certification

1. Learn the Fundamentals of Data Science on the IBM Cloud

Level: Beginner

Duration: 3 Hours

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Description:

This course explores the IBM Cloud Pak for Data as a Service, a web-based solution by IBM. It offers a flexible, cost-efficient framework for modern, data-driven businesses, with tools and services that can be dynamically procured by customers. The curriculum includes basics of data management in the cloud, data manipulation, analysis, and focuses on developing, publishing, and monitoring machine learning solutions.

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2. Introduction to the Tools and Techniques of Data Science

Level: Beginner

Duration: 1 Hour

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Description:

This course offers an introduction to data science, defining key concepts and guiding learners on using open-source tools and resources to start their data science journey. This course will let you explore Python, Jupyter Notebooks, SQL, Docker, and various open-source data sources. This will also help in  learning  the basics of data science, AI, and machine learning techniques.

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3. Databases and SQL for Data Science with Python

Level: Beginner

Duration: 20 Hours

Description:

This course explores how to use SQL and Python for data analysis within databases and will help you to learn to create and manage relational databases using Data Definition Language (DDL) commands and work with multiple tables. This course also covers advanced topics like views, transactions, stored procedures, and how to connect tables in smart ways.

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4. Data Analysis with Python

Level: Beginner

Duration: 15 Hours

Description:

This course teaches Python coding for data preparation and analysis, covering data cleaning, normalization, and binning. You'll explore data using Pandas, Numpy, and Scipy, learn to manipulate and summarize data with data frames, and understand data correlations. Additionally, you'll build and evaluate regression models using the scikit-learn library for predictions and decision-making.

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5. Machine Learning with Python: A Practical Introduction

Level: Intermediate

Duration: 4-6 weeks

Description:

This Machine Learning with Python course covers the basics, including supervised and unsupervised learning, and dives into algorithms like Classification and Regression. Learn through practical examples and hands-on labs about models such as Train/Test Split and Random Forests, and apply your knowledge in real-world scenarios. Get ready to turn theory into practice and deepen your understanding of machine learning.

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