Enroll now In Data analysis with python course and learn the fundamentals of data analysis with Python and leverage the power of Python in data treatment and analysis.

Data Analysis with Python Course

Learn Data Analysis with Python  - SkillUp Online

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.

The power of data science is enabling businesses to glean crucial insights from large pools of information. To explore, analyze, and manipulate this data quickly and accurately, data scientists require excellent knowledge of languages such as Python. With this knowledge, they can then develop one of the most sought-after skill sets.In this course you will acquire key data analysis skills for predicting future trends using Python. You will explore how to import data sets, clean and prepare data for analysis, summarize data, and build data pipelines. You will use Pandas DataFrames, NumPy multidimensional arrays, and SciPy libraries to work with various datasets. You will load, manipulate, analyze, and visualize datasets, and build machine-learning models to make predictions with scikit-learn.Learning to analyze data with Python is a critical competence for individuals keen to excel in the world of data science. This course will give you an excellent foundation in using Python for data science, and also enable you to take another step towards gaining an IBM Data Science Professional Certificate.

Course Overview

This FutureSkills Prime/IBM course comprises five 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 2-4 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 dont worry, youre 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 Certificate of Completion. You will also receive an IBM Certificate.

How It Works

You will be able to:<ul><li>Import data sets, clean and prepare data, and summarize data.</li><li>Build data pipelines.</li><li>Use Pandas DataFrames.</li><li>Use Numpy multidimensional arrays.</li><li>Use SciPy libraries.</li><li>Load, manipulate, analzye, and visualize datasets with pandas.</li><li>Build machine learning models.</li><li>Make predictions with scikit-learn.</li></ul>

Skills You Will Gain

<ul><li>Individuals looking to learn how to work with different kinds of data.</li><li>Individuals wanting to perform analysis on data.</li><li>Individuals wanting an introduction to Python for data science.</li></ul>

Who Should Enroll On This Course

There are no prerequisites for this course.

Prerequisites

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: <ul> <li>Job-ready competencies</li> <li>Practical experience</li> <li>Assessed technical knowledge</li> </ul>The national occupational standards to which this course is aligned relates to the following job roles: <ul> <li>Business Intelligence Analyst</li> <li>Data Scientist</li> <li>Data Quality Analyst</li> </ul>

Career Opportunities

Data Analysis with Python Course - SkillUp Online

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.

Is Python a good language for data analysis?

There are 5 modules in Data Analysis with Python.

How many modules are there in this course?

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

Will I earn a certificate on course completion?

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.

When will I have access to 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.

What does self-paced mean?

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.

Q1 Is Python a good language for data analysis?

There are 5 modules in Data Analysis with Python.

Q2 How many modules are there in this course?

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

Q3 Will I earn a certificate on course completion?

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.

Q4 When will I have access to 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

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Overview

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Course

Data Analysis with Python

Self-Paced

Mentored

Beginner

Duration

Fee

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