Data Analysis with Python

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Course

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Data Analysis with Python

Data Analysis with Python

Learn how to analyze data using Python. Discover how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, and predict future trends from data.

Build your competence in this critical skill and kick-start your career in data science.

Self-Paced

Mentored

BEGINNER

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Duration

5 weeks
2-4 hours/week

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Fee

This course is designed to help you manage an enterprise security incident, while avoiding common errors. This approach will increase both the effectiveness and efficiency of your incident response efforts. Once you have completed this course, you will be able to build a Computer Security Incident Response Team (CSIRT) and understand the various tools required to achieve this.

During this course, you will be introduced to signature-based and behavioral/heuristic detection methods. You will explore the capabilities of on-premise threat detection and mitigation tools. You will develop an in-depth understanding of hybrid and cloud threat detection and mitigation tools. You will learn about the importance of enterprise threat detection monitoring. You will investigate the current nature of the security threat landscape. Plus, you will study the new security architecture and features of Microsoft's Azure.

You will gain insights into Azure Security services with respect to securing services and data within Azure. You will build your knowledge of Azure security best practices. Plus, you will develop a firm understanding of the terminology, tools, and techniques for creating a secure resilient cloud services. In addition, you will learn how to form a CSIRT and how to prepare a Security Incident Report.

This FutureSkills Prime course comprises three purposely designed modules that take you on a carefully defined learning journey.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules or submitting assignments. To give you an idea of how long the course takes to complete, it is anticipated that if you work 2 hours per week, you will complete the course in 5 weeks. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And don't worry, you're not alone! You will be encouraged to stay connected with your learning community and mentors through the course discussion space.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include videos, reading material, and online exam questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues. Depending on the payment plan you have chosen, you may also have access to live classes and webinars, which are an excellent opportunity to discuss problems with your mentor and ask questions. Mentoring services will vary across packages.

Once you have successfully completed the course, you will earn your FutureSkills Prime Certificate of Participation. You will also receive a Certificate of Completion from SkillUp Online.

After completing this course students will have the ability to:

  • Describe signature-based and behavioral/heuristic detection methods.
  • List the capabilities of on-premise threat detection and mitigation tools.
  • Name the capabilities of hybrid and cloud threat detection and mitigation tools.
  • Recognize the importance of Enterprise threat detection monitoring.
  • Understand the current nature of the security threat landscape and study the new security architecture and features of Microsoft's Azure.
  • Understand Azure Security services to help secure your services and data within Azure.
  • Understand Azure Security best practices.
  • Understand the terminology, tools, and techniques for creating a secure resilient cloud services.

  • Individuals who want to learn about building a CSIRT.
  • Individuals who want to learn about Security Incidence Response and disaster recovery.
  • Individuals who want to learn about threat detection in an enterprise and various aspects such as penetration testing, posture testing etc.
  • Individuals who want to learn about threat detection using Microsoft Cloud App Security and Office 365 Cloud App Security.
  • Individuals who want to know about the Azure Security architecture.

In addition to their professional experience, students who take this training should already have technical knowledge in the following:

  • The current cybersecurity ecosystem.
  • Analysis of hacks on computers and networks.
  • Basic risk management.

This course is aligned with industry-approved occupational standards set by SSC NASSCOM. Once you've successfully completed this course, you will receive a cobranded FutureSkills Prime/SkillUp Online Certificate of Participation that confirms you have:

  • Job-ready competencies
  • Practical experience
  • Assessed technical knowledge

The national occupational standards to which this course is aligned relates to the following job roles:

  • Business Intelligence Analyst
  • Data Scientist
  • Data Quality Analyst

Course Outline

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Earn your certificate

Once you have completed this course, you will earn your certificate.

certificate

Why Learn with SkillUp Online?

We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.

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Reskilling into tech? We’ll support you.

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Upskilling for promotion? We’ll help you.

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Cross-skilling for your career? We’ll guide you.

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Personalized Mentoring & Support

1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.

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Practical Experience

Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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Best-in-Class Course Content

Designed by the industry for the industry so you can build job-ready skills.

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Job-Ready Skills Focus

Competency building and global certifications employers are actively looking for.

Course Offering

certificate

Type of certificate

IBM Certificate, Certificate of Participation

course

About this course

05 Modules

06 Skills

includes

Includes

Discussion Space

05 Hands-on labs

05 Graded quizzes

create

Create

Analyzing and prediction model

exercises

Exercises to explore

Importing data sets

Data wrangling

Exploratory data analysis

Model development

Model evaluation and refinement

This course has been created by

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Joseph Santarcangelo

PhD., Data Scientist at IBM

View on LinkedIn

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FAQs

Python is a very effective tool for data analysis at every stage of the process. It is particularly useful because the Python libraries were for general use and are available for download. According to Python documentation, data mining, data processing, and modelling, as well as data visualization, are the most common ways in which Python is used for data analysis.

There are 5 modules in Data Analysis with Python.

Yes, you will receive a Certificate of Completion once you have successfully completed this course.

Data Analysis with Python is an online course. It is self-paced and can be completed at a pace that suits you. You will therefore need a good connection to the internet in order to be able to access the course materials. The contents for this course will be available through your dashboard as soon as you have enrolled. You will not be required to attend any classes in person to obtain the course materials.

In contrast to scheduled live sessions or webinars, self-paced courses do not follow a predetermined timetable. If you work through the modules and complete the course by the deadline, you are free to work at your own pace; you are not required to work at a particular pace.

Data Analysis with Python

Course Offering

certificate

Type of certificate

IBM Certificate, Certificate of Participation

course

About this course

05 Modules

06 Skills

includes

Includes

Discussion Space

05 Hands-on labs

05 Graded quizzes

create

Create

Analyzing and prediction model

exercises

Exercises to explore

Importing data sets

Data wrangling

Exploratory data analysis

Model development

Model evaluation and refinement

This course has been created by

profile-image

Joseph Santarcangelo

PhD., Data Scientist at IBM

View on LinkedIn

Newsletters & Updates

Subscribe to get the latest tech career trends, guidance, and tips in your inbox.