Course Overview

Python data analysis is a crucial ability for data scientists and analysts. You will go from the fundamentals of data analysis using Python in this course to creating and assessing data models.

Learn how to perform exploratory data analysis (EDA), clean and organise data, import data from various sources, and produce insightful data visualisations. Next, by creating linear, multiple, and polynomial regression models and pipelines and learning how to evaluate them, you will forecast future trends from data.

You will study and practise through practical laboratories and projects in addition to video lectures. Several open-source Python libraries, such as Pandas and Numpy, will be used by you to load, manipulate, analyse, and visualise interesting datasets. Additionally, you will design machine-learning models and make predictions using Scikit-learn and Scipy.

What you'll learn

• Model Selection
• Data Analysis
• Python Programming
• Data Visualization
• Predictive Modelling

Requirements

• Basic knowledge of Python programming and data handling.
• A computer or laptop with internet connectivity.
• Learn all about data analysis in only fifteen hours.
• Flexible work schedule.

AccessTo Career Resources with IBM Data Analysis with Python Certificate Course

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Enhanced Employability:

An outstanding IBM Data Analysis with Python Certificate that increases your chances of landing the best jobs.

Competitive Advantage:

A chance to differentiate yourself from the crowd and leave a greater impact on prospective employers.

Skill Validation:

A strong validation of your Python and data handling skills verifies your ability to perform all data analysis tasks successfully.

Networking Opportunities:

The IBM Data Analysis with Python Certificate course provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.