Is Getting Started with Data Analysis Using Python 2 beginner friendly?

Yes, this course is designed for beginners. It covers foundational concepts and requires no prior advanced knowledge in the subject area.

How long does it take to complete Getting Started with Data Analysis Using Python 2?

The total duration of the course is approximately 2 hour 23 minutes. Since it is generally self-paced, completion time depends entirely on your learning schedule and availability.

Is this course more theory-focused or project-focused?

This course provides a strong mix of conceptual theory and practical application to ensure a comprehensive understanding of the subject matter.

What careers is this course relevant for?

The skills taught in this course are highly relevant for professionals pursuing roles within Data Science and adjacent technical fields looking to upskill.

Data Science

Getting Started with Data Analysis Using Python 2

Name: Getting Started with Data Analysis Using Python 2
Availability: InStock
Rating: 3 (76 reviews)

Python is an excellent tool for data analysis. In this course, you'll learn how to collect, analyze, and persist data, then build data visualizations using python, csv files, sqlite, and pygal.

3|Reviews (76)

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₹10,563/yr

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₹1,254/mo

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₹2,370/mo

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics

Exploratory Data Analysis

Modeling

Predictive Machine Learning

SQL Querying

Relational Data Management

Pandas

Matplotlib

Statistics

Tableau

ETL

Careers:Backend Developer, Software Engineer, API Developer.

💡This course fits perfectly into our comprehensiveData Science Learning Path. Explore the ecosystem to see how it compares to other foundational skills.

Quick Facts

2 hour 23 minutes

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

Course Overview : 1min.
Introduction to Python Data Analysis : 10mins.
Collecting Stock Market Data : 12mins.
Understanding Python Data Structures : 44mins.
Persisting Data in Databases and Files : 39mins.
Analyzing Stock Market Data : 17mins.
Building Simple Data Visualizations : 14mins.
Course Summary and Next Steps : 3mins.

See side-by-side differences in what you’ll learn

Description

Data analysis is one of the fastest growing fields, and Python is one of the best tools to solve these problems. In this course, Getting Started with Data Analysis Using Python, you'll learn how to use Python to collect, clean, analyze, and persist data. First, you'll discover techniques including persisting data with csv files, pickle files, and databases, along with the ins and outs of basic SQL and Sqlite command line. Next, you'll delve into data analysis and how to use common data structures, such as lists, dictionaries, tuples, and sets. Additionally, you'll learn how to use these structures and apply these skills to widely available stock market data. Finally, you'll explore pygal, a Python library for data visualization. When you're finished with this course, you'll have the necessary knowledge to efficiently build stunning charts and graphs utilizing data analysis in Python.

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