149 Courses and Certifications

List of Online Courses and Certifications

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Skills

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Hands on Introduction to Linux Commands and Shell Scripting

Offered by

Certificate

Hands-on Introduction to Linux Commands and Shell Scripting

Shell scripting is the collection of operations that must be run so that the shell can do so. Long and repeated command procedures are allegedly combined within one program so that they can be performed as needed. The main goal of writing a shell script is to lighten the end workload. Hands-on Introduction to Linux Commands and Shell Scripting online certification is developed by IBM Skills Network and taught by Rav Ahuja - Global Program Director and Sam Prokopchuk - Data Scientist, which is offered by Coursera.

Hands-on Introduction to Linux Commands and Shell Scripting online course involves 1 week of hands-on training materials that provide a practical introduction to Linux, commonly used Linux commands, Unix commands, and bash shell scripting to automate a range of activities. Hands-on Introduction to Linux Commands and Shell Scripting online classes discusses the concepts and techniques involved with topics like Linux distribution, networking, and shell scripting as well as will explain the methodologies for interacting with the Linux terminal, running commands, navigating directories, editing files, installing software, and more.

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1 Weeks
Beginner
1,699
Skills Covered:
Knowledge of Linux
Python for Data Engineering Project

Offered by

IBM via Edx
Certificate

Python for Data Engineering Project

1 Weeks
Intermediate
SQL Concepts for Data Engineers

Offered by

IBM via Edx
Certificate

SQL Concepts for Data Engineers

1 Weeks
Intermediate
Python for AI and Development Project

Offered by

IBM via Edx
Certificate

Python for AI & Development Project

1 Weeks
Intermediate
Free
Architecting Applications for IBM Z and Cloud

Offered by

IBM via Edx
Certificate

Architecting Applications for IBM Z and Cloud

1 Weeks
Beginner
Free
What is Data Science

Offered by

Certificate

What is Data Science

The Data Science certification course duration is 1 week. This programme is a beginner-level course and candidates can learn at their own pace with flexibility. The course focuses on providing the fundamentals of data science and its significance in today's data-driven world. Students will gain advice from data science professionals and data scientists.

The certification programme equips the students with Data Science, Big Data, Machine Learning, Deep Learning and Data Mining skills. The Data Science certification by Coursera a foundational understanding of the subject or tool. They will also learn new concepts and gain hands-on projects. The course is taught in English but is also available in 22 other languages.

Also Read: Online Data Science And Machine Learning Courses & Certifications

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1 Weeks
Beginner
1,699
Exploratory Data Analysis for Machine Learning

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Certificate

Exploratory Data Analysis for Machine Learning

1 Weeks
Intermediate
Introduction to Agile Development and Scrum

Offered by

Introduction to Enterprise Computing

Offered by

Certificate

Introduction to Enterprise Computing

1 Weeks
Beginner
Getting Started with Git and GitHub

Offered by

Certificate

Getting Started with Git and GitHub

1 Weeks
Beginner
Free
Software Developer Career Guide and Interview Preparation

Offered by

Introduction to Networking and Storage

Offered by

Certificate

Introduction to Networking and Storage

1 Weeks
Beginner
Data Analyst Career Guide and Interview Preparation

Offered by

Certificate

Data Analyst Career Guide and Interview Preparation

1 Weeks
Beginner
48,757
Introduction to Data Engineering

Offered by

Certificate

Introduction to Data Engineering

1 Weeks
Beginner
1,914
Python for Data Science Project

Offered by

IBM via Edx
Certificate

Python for Data Science Project

1 Weeks
Intermediate
Free
Generative AI Elevate Your Data Science Career

Offered by

Certificate

Generative AI: Elevate Your Data Science Career

Generative AI: Elevate Your Data Science Career certification course lasts for 12 hours (approximately). The programme provides students with in-depth knowledge of generative AI tools, like GPT 3.5, ChatCSV, and tomat.ai for querying and creating the data. The course helps students to examine real-world scenarios where generative AI is used.   

The certification course is taught in English and it is also available in 21 other languages. The Generative AI: Elevate Your Data Science Career certification by Coursera offers generative AI skills in hands-on labs and projects. The students will be able to apply generative AI techniques in developing and refining ML models.    

The programme offers a comprehensive curriculum to the students that includes data science and generative AI, the use of generative AI for Data Science. Students will also be able to enhance their related projects with the guidance of industry experts. The course offers videos, readings, assignments, app items and plugins for a better understanding of the subject.  

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

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1 Weeks
1,914
Penetration Testing, Incident Response and Forensics

Offered by

Certificate

Penetration Testing, Incident Response and Forensics

The online course on Penetration Testing, Incident Response and Forensics by Coursera is part of a series of courses that is in the domain of “cybersecurity”. The session allows the students to develop their skills in the technical and moral aspects of hacking. The nuances of cybersecurity and its application will be elaborated in the Penetration Testing, Incident Response and Forensics certification course. 

In the course, the applicants will be studying the different phases that are involved in penetration testing. The professors will be guiding the students to gather data involved in penetration testing in a more professional way. The Penetration Testing, Incident Response and Forensics certification syllabus involves the chapters of- Analysis & reporting, Network data, Application data, Operating system data, Functions and methods, Data structures, Python getting started, Scripting languages, Python basics and others.

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17 Hours
Beginner
Skills Covered:
Knowledge of Python
Data Scientist Career Guide and Interview Preparation

Offered by

Certificate

Data Scientist Career Guide and Interview Preparation

The Data Scientist Career Guide and Interview Preparation certification course duration is 9 hours (approximately). The certification programme is a beginner level course and its instructor is IBM Skills Network Team. The course offers a robust curriculum to the students that covers building a foundation, applying and preparing for the interview and interviewing.

The The participants will gain in-depth knowledge of the role of a data scientist and career paths in the field. The Data Scientist Career Guide and Interview Preparation certification by Coursera offers types of interviews, what to expect and how to prepare for it. The students will gain career development, job preparation and resume building skills.

Also Read: Online Data Science With R And Python Courses & Certifications

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9 Hours
Beginner
1,699
Introduction to Devops

Offered by

Certificate

Introduction to Devops

9 Hours
Beginner
1,914
Machine Learning Introduction for Everyone

Offered by

Certificate

Machine Learning Introduction for Everyone

6 Hours
Beginner
2,699
Introduction to Enterprise Resiliency

Offered by

Certificate

Introduction to Enterprise Resiliency

6 Hours
Beginner
Free
Data Topology

Offered by

Certificate

IBM Data Topology

6 Hours
Intermediate
Free
Statistics for Data Science with Python

Offered by

Certificate

Statistics for Data Science with Python

The Statistics for Data Science with Python online course introduces you to the basics of statistical procedures and methods used for data analysis. After completing this programme, you will have practical knowledge of essential topics in statistics, including – data collection, summarizing data using descriptive statistics, displaying and visualizing data, and examining relationships between variables.

The Statistics for Data Science with Python syllabus also includes hypothesis testing, probability distributions, expected values, ANOVA (analysis of variance), correlation, and regression analysis. You will also get hands-on training in statistical analysis using Jupyter notebooks and Python – the tools of choice for Data Scientists and Data Analysts. 

At the end of the Statistics for Data Science with Python course, you will undertake a project to apply various concepts learned during the course and solve a Data Science problem that involves a real-life inspired scenario. Coursera also provides a certificate upon course completion, which offers tangible career benefits. However, you must pay a fee to get the certification.

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3 Hours
3,384
Skills Covered:
Statistical skills Knowledge of Data Visualization
Application Modernization for Enterprise Systems

Offered by

Certificate

Application Modernization for Enterprise Systems

3 Hours
Beginner
Free
How to Modernize Applications with IBM Customer Information Control System

Offered by

Certificate

How to Modernize applications with IBM CICS

2 Hours
Intermediate
Free
Applied AI with DeepLearning

Offered by

Certificate

Applied AI with Deep Learning

The Applied AI with Deep Learning online course is provided as a part of the IBM advanced data science certification programme for giving much-needed insights into the models of deep learning for students. The Applied AI with Deep Learning certification syllabus will dive into the fundamentals of linear algebra, neural networks, deep learning frameworks and advanced concepts such as time series forecasting, natural language processing and image recognition. The students will be trained at an advanced level of learning and it provides a sharable and verified certificate upon completion. The Applied AI with Deep Learning by Coursera is provided in the English language with subtitles in many languages and the learning can be done easier with flexible deadlines for submission of projects and assignments.

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Expert
4,074
Skills Covered:
Machine learning Knowledge of deep learning Knowledge of Apache Spark
Supervised Machine Learning Classification

Offered by

Certificate

Supervised Machine Learning: Classification

A part of the multiple series programme, the online session on Supervised Machine Learning: Classification by Coursera provides the students with a detailed emphasis on the main types of modelling that are involved with the genre of machine learning. The students will learn elaborately to train the predictive models that are involved and used across various domains. The Supervised Machine Learning: Classification certification syllabus will be covered on the online platform by the students over a time frame of 24 hours. The course will train the students professionally in the domain of machine learning.

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Intermediate
3,384
Skills Covered:
Machine learning
Advanced Data Science Capstone

Offered by

Certificate

Advanced Data Science Capstone

The Advanced Data Science Capstone certification course is specialized in the field of data science presented by IBM, the course is structured into week dynamics and the syllabus is in accordance with that only. This course will provide an immense Advanced Data Science Capstone training that will be focused on a deep understanding of the huge processing of data, exploration, and data visualization. 

Basically, the course is structurally based on deep learning and machine learning that will help them to be more effective and efficient in solving real-world problems and situations. Candidates need to pass the last assessment that is the project work in order to attain Advanced Data Science Capstone certification by the end of the completion of the course. Candidates can get constant feedback along with every module which can help them to make their fundamentals and basics stronger. 

The Advanced Data Science Capstone online course will assist the applicant in learning and demonstrating an understanding of the characteristics of various algorithms, systems, and technologies, as well as how they affect model efficiency and scalability, which are needed in the data science area. Candidates can apply for the course via an online platform and can submit the assessments via the same model only. 

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Expert
4,086
Skills Covered:
Data science knowledge

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