Certified Professional in Exploratory Data Analysis with Python

-- viewing now

The Certified Professional in Exploratory Data Analysis with Python course is a comprehensive program designed to equip learners with essential skills in data analysis. This course emphasizes the importance of exploratory data analysis (EDA), a critical step in data science projects that allows data professionals to understand patterns, anomalies, and relationships in their data.

5.0
Based on 3,311 reviews

2,299+

Students enrolled

GBP £ 140

GBP £ 202

Save 44% with our special offer

Start Now

About this course

With the increasing demand for data-driven decision-making across industries, EDA skills are becoming increasingly valuable. By learning Python, a popular and versatile programming language, learners can perform EDA tasks efficiently and effectively. The course covers essential Python libraries such as NumPy, Pandas, Matplotlib, and Seaborn, providing learners with hands-on experience in data manipulation, cleaning, and visualization. Upon completion of this course, learners will be equipped with the skills and knowledge necessary to perform EDA tasks, enabling them to make informed decisions, identify trends, and communicate insights effectively. As a result, this course is an excellent opportunity for professionals seeking to advance their careers in data science, analytics, or related fields.

100% online

Learn from anywhere

Shareable certificate

Add to your LinkedIn profile

2 months to complete

at 2-3 hours a week

Start anytime

No waiting period

Course details

• Unit 1: Introduction to Exploratory Data Analysis (EDA) with Python  
• Unit 2: Setting up the Python Environment for Data Analysis  
• Unit 3: Essential Python Libraries for EDA: NumPy, pandas, & matplotlib  
• Unit 4: Data Wrangling and Preprocessing in Python  
• Unit 5: Data Visualization in EDA using Python  
• Unit 6: Descriptive Statistics and Probability Concepts in EDA  
• Unit 7: Hypothesis Testing and Inferential Statistics  
• Unit 8: Correlation Analysis & Feature Engineering  
• Unit 9: Univariate and Multivariate Analysis  
• Unit 10: Time Series Analysis & Trend Detection in EDA  

Career path

The Certified Professional in Exploratory Data Analysis with Python role is gaining traction in the UK job market. This data-driven profession demands a unique blend of technical and analytical skills. The primary responsibility of a Certified Professional in Exploratory Data Analysis with Python is to analyse and interpret complex datasets, ultimately transforming them into actionable insights. To excel in this role, professionals must have a solid foundation in Python, data visualization techniques, statistical analysis, machine learning, and data cleaning practices. This section showcases a 3D pie chart, highlighting the demand for these essential skills. The interactive chart, featuring a transparent background, emphasizes the need for a Certified Professional in Exploratory Data Analysis with Python to be proficient in multiple areas. By setting the width to 100% and a height of 400px, the chart adapts to various screen sizes, ensuring optimal viewing for users. As job market trends evolve, it's crucial for aspiring professionals to stay up-to-date with the latest skill demands. This engaging 3D pie chart, crafted with Google Charts, provides an immersive representation of the vital skills required for success as a Certified Professional in Exploratory Data Analysis with Python.

Entry requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

Why people choose us for their career

Loading reviews...

Frequently Asked Questions

What makes this course unique compared to others?

How long does it take to complete the course?

What support will I receive during the course?

Is the certificate recognized internationally?

What career opportunities will this course open up?

When can I start the course?

What is the course format and learning approach?

Course fee

MOST POPULAR
Fast Track GBP £140
Complete in 1 month
Accelerated Learning Path
  • 3-4 hours per week
  • Early certificate delivery
  • Open enrollment - start anytime
Start Now
Standard Mode GBP £90
Complete in 2 months
Flexible Learning Pace
  • 2-3 hours per week
  • Regular certificate delivery
  • Open enrollment - start anytime
Start Now
What's included in both plans:
  • Full course access
  • Digital certificate
  • Course materials
All-Inclusive Pricing • No hidden fees or additional costs

Get course information

We'll send you detailed course information

Pay as a company

Request an invoice for your company to pay for this course.

Pay by Invoice

Earn a career certificate

Sample Certificate Background
CERTIFIED PROFESSIONAL IN EXPLORATORY DATA ANALYSIS WITH PYTHON
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
SSB Logo

4.8
New Enrollment