Data Analysis with Python and Pandas Training

Learn Data Analysis with Python and Pandas Training to Unleash a Modern Career

Average Rating 4.0 From 891 Students

Duration : 25 Hours | Lab Sessions : 25 Hours

1200 Students Enrolled

About Course

Data Analysis with Python and Pandas Training at SM consultant will train you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.At the end of the course students would learn how to perform a multitude of data operations in Python's popular "pandas" library including grouping, pivoting, joining and more!. Students would learn hundreds of methods and attributes across numerous pandas objects. They will be able to resolve common issues in broken or incomplete data sets.

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Upcoming Batch Schedule for Data Analysis with Python and Pandas Training

SM Consultant is dedicated to the service of our students. Below mentioned are the timings of our upcoming batches online. If none of these times suit you, you can request to schedule a custom time suitable for you.

WEEKEND - 2 Hours Session

14 Dec, 2021 - 28 Jan, 2025

01:30 AM

FASTTRACK - 3 Hours Session

18 Dec, 2024 - 31 Dec, 2024

01:30 AM

WEEKEND - 2 Hours Session

22 Dec, 2024 - 05 Feb, 2025

01:30 AM

WEEKDAY - 1 Hour Session

26 Dec, 2024 - 20 Jan, 2025

01:30 AM

WEEKDAY - 1 Hour Session

30 Dec, 2024 - 24 Jan, 2025

01:30 AM

FASTTRACK - 3 Hours Session

03 Jan, 2025 - 16 Jan, 2024

01:30 AM

No Timing Suitable for You ?

Tell Us Your Preferred Starting Date, we will schedule a batch for You!

Take Data Analysis with Python and Pandas Training at your own pace

Self Paced Online Learning

The Self Paced format allows you to stream the course content from anywhere across the globe with a good Internet connection. There is no defined schedule, you can watch them at your comfortable time. Get Started.

Watch Free Data Analysis with Python and Pandas Training videos before signing up.

Instructor Led Live Training

We deliver Instructor-led online course via your personal computer through an easy-to-use web conferencing tool that allows for real-time interaction between you and the trainer. Get Expert guidance tailored for you.

Join Free Data Analysis with Python and Pandas Training demo session before signing up.

Data Analysis with Python and Pandas Training Course Content

1. Installation and Setup

Create Jupyter Notebook for the Series Module
Create A Series Object from a Python Dictionary
Python Built-In Functions
More Series Attributes
The .sort_index() Method
Python's in Keyword
Extract Series Values by Index Position
Extract Series Values by Index Label

2. Working with Text Data

Intro to the Working with Text Data Module

3. MultiIndex

Common String Methods - lower, upper, title, and length
Intro to the MultiIndex Module
Create a MultiIndex with the set_index() Method
Extract Rows from a MultiIndex DataFrame

4. DataFrames I

Intro to DataFrames I Module
Shared Methods and Attributes between Series and DataFrames
Differences between Shared Methods
Select Two or More Columns from a DataFrame
Add New Column to DataFrame
Broadcasting Operations
A Review of the .value_counts() Method
Drop Rows with Null Values

5. DataFrames II

This Module's Dataset + Memory Optimization

6. DataFrames III

Intro to the DataFrames III Module + Import Dataset
Set New Values for a Specific Cell or Row
Set Multiple Values in DataFrame

7. Working with Dates and Times

Intro to the Working with Dates and Times Module
Review of Python's datetime Module
The pandas Timestamp Object
The pandas DateTimeIndex Object
The pd.to_datetime() Method
Create Range of Dates with the pd.date_range() Method, Part 2
Create Range of Dates with the pd.date_range() Method, Part 3
The .dt Accessor
Install pandas-datareader Library
Import Financial Data Set with pandas_datareader Library
Selecting Rows from a DataFrame with a DateTimeIndex
Timestamp Object Attributes
The .truncate() Method
DateOffset Objects
More Fun with pd.DateOffset Objects
The pandas Timedelta Object
Timedeltas in a Dataset

8. Input and Output

Intro to the Input and Output Module
Quick Object Conversions
Export DataFrame to CSV File with the .to_csv() Method
Install xlrd and openpyxl Libraries to Read and Write Excel Files
Import Excel File into pandas
Export Excel File
Input and Output

9. GroupBy

Intro to the Groupby Module
First Operations with groupby Object
Retrieve A Group with the .get_group() Method
Methods on the Groupby Object and DataFrame Columns
Grouping by Multiple Columns

10. Merging, Joining, and Concatenating

Intro to the Merging, Joining, and Concatenating Module
Outer Joins

11. Panel

Intro to the Module + Fetch Panel Dataset from Google Finance
The Axes of a Panel Object
A Review of the Panels Module

12. Options and Settings

Introduction to the Options and Settings Module
Changing pandas Options with Attributes and Dot Syntax
Changing pandas Options with Methods
The precision Option

13. Visualization

Intro to Visualization Module
Modifying Aesthetics with Templates
Bar Graphs
Pie Charts
Histograms
Visualization

Need Customized Course Content?

We will customize the Data Analysis with Python and Pandas Training course content according to your job requirements.

Certification

Once you are successfully through the project, you will be awarded an SM Consultant’s Data Analysis with Python and Pandas Training Completion Certificate for the course.

SM Consultant’s certification has industry recognition, and we are the preferred training partner for many organizations.

SM Consultant’s Certificate Holders work at 100s of companies

Frequently Asked Questions About Data Analysis with Python and Pandas Training

1. When will I receive my joining instructions for Data Analysis with Python and Pandas Training?
Joining instructions for Data Analysis with Python and Pandas Training is sent two days prior to the course start date, or immediately if the booking is confirmed within this timeframe.

2. How are you better than the other classes? Past achievements?
As they say, “History speaks for itself”, the past achievements would give you a good picture of our reputation, and would also tell you what extra efforts we put in to achieve it.

3. Do you offer a Data Analysis with Python and Pandas Training Demo or Trial class before joining?
We offer 1 demo classes to students. Just make sure that you select the subject and time of the class so that you get an independent assessment of the quality of teaching and you can take an informed decision.

4. What’s the batch size? Will I get personal attention?
An average batch size could be min. 4-5 and max. 8-10 but irrespective of the batch size you will get personal attention and our trainers will help you understand the technology.

5. What if I am not able to attend or miss a session?
If you are unable to attend your session we will help you understand the session by sharing the recording of the live session and still if you need more assistance, we will arrange a backup session for you.

6. Can I access the Data Analysis with Python and Pandas Training course material after training?
Yes, you will get the material in pdf format and will have access to the Data Analysis with Python and Pandas Training recordings.