Ardent Computech
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Data Science and Analysis with Python 

  • Offered byArdent Computech

Data Science and Analysis with Python
 at 
Ardent Computech 
Overview

Unleashing the Power of Data Science for In-Depth Analysis and Strategic Decision-Making in a Dynamic Business Environment

Duration

40 hours

Total fee

4,499

Mode of learning

Online

Official Website

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Credential

Certificate

Data Science and Analysis with Python
 at 
Ardent Computech 
Highlights

  • Earn a certification after completion
  • Case studies and live projects for real world exposure
  • Learn from expert faculty
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Data Science and Analysis with Python
 at 
Ardent Computech 
Course details

Who should do this course?

Aspiring Data Scientists

Business Analysts and Data Analysts

Software Developers and Programmers

Business Owners and Managers

What are the course deliverables?

Understand the core concepts of Python programming and its application in data science

Manipulate and analyze large datasets using Pandas and NumPy

Visualize data effectively to convey insights using Matplotlib and Seaborn

Perform statistical analysis and apply machine learning models to solve real-world problems

Work on end-to-end data science projects, from data cleaning to building predictive models

 

More about this course

This course is designed to equip you with the necessary tools and techniques to analyze large datasets, draw meaningful insights, and make data-driven decisions

You will develop the skills needed to perform complex data analysis and build predictive models using Python’s most powerful libraries

This course provides the foundational skills and hands-on experience necessary to excel in the growing field of data science and become proficient in analyzing and interpreting complex datasets using Python

Read more

Data Science and Analysis with Python
 at 
Ardent Computech 
Curriculum

Lesson 01 - Artificial Intelligence

Overview of Artificial intelligence

Problems of AI

Lesson 02 - Intelligent Agents

Agents & environment

Nature of environment

Lesson 03 - Data Science Overview

Introduction to Data Science

Different Sectors Using Data Science

Lesson 04 - Data Analytics Overview

Data Analytics Process

Knowledge Check

Lesson 05 - Statistical Analysis and Business Applications

Introduction to Statistics

Statistical and Non-statistical Analysis

Lesson 06 - Python Environment Setup and Essentials

Anaconda

Installation of Anaconda Python Distribution

Lesson 07 - Mathematical Computing with Python (NumPy)

Introduction to Numpy

Activity-Sequence it Right

Lesson 08 - Scientific computing with Python (Scipy)

Introduction to SciPy

SciPy Sub Package - Integration and Optimization

Data Science and Analysis with Python
 at 
Ardent Computech 
Entry Requirements

Requirements for 12th gradeUp Arrow Icon
  • N/A
Conditional OfferUp Arrow Icon
  • Not mentioned

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