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Data Analysis using Pandas

by

Guvi

Master one of the most revered and in-demand data science/analytics skills with this beginner-friendly course on Data Analytics using Pandas, a popular Python library.
1799.00
2000.00
10.05% Discount

#1

See all ranking

Data Analysis using Pandas

by

Guvi

Master one of the most revered and in-demand data science/analytics skills with this beginner-friendly course on Data Analytics using Pandas, a popular Python library.
1799.00
2000.00
10.05% Discount

#1

See all ranking

3 Modules

with Certifications

3+ Hours

of Recorded Content

4.4 Rated

by 21327 Learners

English

Language

3 Modules

with Certifications

3 + Hours

of Recorded Content

4.4 Rated

by 21327Learners

Read all Reviews

English

Language

What's in it for You?

Data Analysis is one of the most important and must-have skills for all data scientists and analysts. Pandas is a very popular module of Python that greatly assists in performing analysis on vast amounts of data. With this course, you will learn how to handle various operations using Pandas along with logical categorizing, data manipulation, and statistical analysis. You will also be taught to create, deploy and navigate data frames along with visualizing, grouping, slicing, and indexing them. After the completion of this course, you will gain a globally-recognized certificate and be able to work with almost any real-world dataset applications around the world.
Data Analysis is one of the most important and must-have skills for all data scientists and analysts. Pandas is a very popular module of Python that greatly assists in performing analysis on vast amounts of data. With this course, you will learn how to handle various operations using Pandas along with logical categorizing, data manipulation, and statistical analysis. You will also be taught to create, deploy and navigate data frames along with visualizing, grouping, slicing, and indexing them. After the completion of this course, you will gain a globally-recognized certificate and be able to work with almost any real-world dataset applications around the world.

Key Features:

Globally Recognised Certification
100% online and Self-paced learning
Full lifetime access to all content
Access to 4 Gamified Practise Platforms
Dedicated Forum Support to clear all your doubts
7 Days refund Policy

Topics you will learn

  • Beginner Module

      • Introduction
      • Setting up Pandas Environment
      • An Introduction to Jupyter Notebook
      • Loading Data into Pandas
      • A Deeper Look Into Data
      • DataFrames - Basic Functions
      • dataframes- rows and columns

  • Intermediate Module

      • Sorting DataFrames
      • Handling Datetime Fields in Pandas
      • Statistical Functions in Pandas

  • Advanced Module

      • Pandas - Indexes
      • Data Grouped Representation
      • Data Visualization
      • Adding New Data - Merge, Join
      • Adding New Data - Append/Concat
      • Final Project & End Note

Course Offerings

Certificate you will get

IITM Pravartak certified Python certification.
Certificates are globally recognized & they upgrade your programming profile.
Certificates are generated after the completion of course.

After this Course

Have extensive knowledge of implementing data analysis leveraging Pandas.
Be proficient in combining, visualizing, and applying logic to datasets.
Be able to efficiently work with and perform various operations with the Pandas library.
Handle data-related problems such as erroneous or missing data.
Learn how to create, deploy and navigate data frames.
Perform functions like grouping, slicing, and indexing on large datasets.

Pre Requsites

An interest in data analysis techniques and how to implement them using Python.
Basic knowledge of the Python programming language.

Course is for

Freshers

Professionals

Students

FAQ's

  • What is a data analysis course?
    Data analysis can be defined as the set of techniques used to collect, transform and organize data to derive meaningful predictions about trends or business values and make informed data-driven discussions. And a data analysis course is what equips you with the skills necessary to implement those techniques and perform analysis on vast amounts of data.
  • How is Pandas used for Data Analysis?
    Pandas is one of the most popular and robust Python libraries and it provides various functions and methods to effectively deal with large amounts of data and perform extensive analytics. Pandas is widely used for data analysis as it provides functionality, flexibility, and has a simple syntax. It also offers various tools for reading and writing data into data structures and files.
  • Why learn Data Analysis using Pandas?
    Pandas is the most widely used python library for performing data analysis and manipulating data before building machine learning models, making it a popular choice amongst data scientists. Learning data analysis using Pandas is beneficial because it provides a range of functions and methods for performing various operations like reshaping, merging, and concatenating data. Addedly, it is highly flexible and offers extended data structures to hold different types of labeled and relational data.
  • What are the benefits of learning Data Analysis?
    Analyzing data and drawing meaningful insights from it, helps businesses and organizations make well-informed decisions. Hence, data analysis is a trendy and must-have skill in the tech world, especially for data scientists and analysts. Thus, you benefit by garnering skills such as data cleaning, data analysis and exploration, data manipulation, statistical knowledge, data visualization, creating dashboards and reports, and much more.
  • How to become a data analyst in India?
    To become a data analyst in India, you must master all the skills pertaining to the exploration, manipulation as well as analysis of vast amounts of data. You must be able to perform data cleaning, data visualization, data manipulation, and create dashboards as well as reports to showcase what the data indicates. Knowledge of popular libraries, frameworks, and tools such as Pandas, Matplotlib, Seaborn, etc is also necessary.

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