Data Analysis with Python

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 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 Certificate of Completion. You will also receive an IBM Certificate. 

After completing this course students will be able to::

• Import data sets, clean and prepare data, and summarize data.
• Build data pipelines.
• Use Pandas DataFrames.
• Use Numpy multidimensional arrays.
• Use SciPy libraries.
• Load, manipulate, analzye, and visualize datasets with pandas.
• Build machine learning models.
• Make predictions with scikit-learn.

• Individuals looking to learn how to work with different kinds of data.
• Individuals wanting to perform analysis on data.
• Individuals wanting an introduction to Python for data science.

There are no prerequisites for this course.

This course is aligned with industry-approved occupational standards set by SSC NASSCOM. Once you’ve successfully completed this course, you will receive a Certificate of Completion 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