Courses
Data Science with Python
Level: 2
Age group: All
This course Includes
12 live tutoring sessions
68 topics
Access on mobile
Certificate of completion
What you will achieve?
Understanding of Python data structure libraries
Knowledge of series and pandas data structure functions
Skill in plotting with PyPlot
Ability to use CSV files
Mastery in series, Pandas, and Pyplot libraries
Schedule of topics
68 topics
Python Libraries for Data Science
Import Library into Python Program
Using Panda
Pandas Data Structures
Series
DataFrame
Series Data Structure
Creating Series Objects
Series Object Attributes
Accessing a Series Object and its Elements
Extracting Slices from Series Object
Operations on Series Object
Modifying Elements of Series Object
Renaming Indexes
The Head() and tail() functions
Vector Operations on Series Objects
Arithmetic on Series Object
Sorting Series Values
Series Objects vs. Lists
Series Objects vs. Dictionaries
Difference between Numpy Arrays and Series Objects
DataFrame Data Structure
Creating and Displaying a Data Frame
Data Frame Attributes
DataFrame vs.Series and 2D Numpy Array
Selecting/Accessing Multiple Columns
Selecting Rows and Columns from a DataFrame
Select/Accessing Individual Value
Selecting DataFrame Rows/Columns based on Boolean Conditions
Adding/Modifying a Row/Column
Working with Pandas Data Frame
Iterating Over a Data Frame
Binary Operations in a Data Frame
Descriptive Statistics with Pandas
Essential Functions and Functionality
Advanced Operations on Data Frame
Handling Missing Data
Combining Data Frame
Function group by()
Applying Various settings in plot() Function
Plotting with PyPlot
What is Data Visualization?
Using Pyplot of Matplot Library
Working with Pyplot Methods
Creating Line Charts and Scatter Charts
Specifying Plot Size and Grid
Creating Bar Charts and Pie Charts
Customizing the Plot
Creating Histograms with Pyplot
Creating Frequency Polygons
Creating Box Plots
Plotting Data from a Data Frame
Importing/Exporting Data between CSV Files
Transferring Data between .csv Files and Data Frames
Storing DataFrame's Data to CSV File
Loading Data From CSV to Data Frames
Feature Selection
Feature Selection
Regression
Factor Analysis
Factor Analysis Process
Principal Component Analysis (PCA)
First Principal Component
Eigenvalues and PCA
Feature Reduction
Linear Discriminant Analysis
Maximum Separable Line
Find Maximum Separable Line
Why learn with EnthuZiastic?
Here's why more and more people are joining EnthuZiastic
Personalized Lessons
Customize your lessons to meet your individual goals.
Expert Teachers
Top rated teachers to guide you through the learning process.
Flexible Timings
Attend classes anytime, anywhere. Make your own schedule.
Empowerment Activities
Gain experience in organizing live events such as 'Show What You Know,' competitions, and cultural celebrations to develop self-assurance and confidence.
Complete Support
A compassionate support team to listen to your needs.
Completion Certificate
You will get a certificate for the completion of the course.
How it works?
Enroll
Enroll for the course of your liking by selecting 1:1 or group classes. Choose the type of instructor you want to learn with.
Schedule
Download Enthu app and schedule classes for the day and time that works best for you. You own your learning schedule.
Learn
Join classes on Zoom and start learning with lessons customized for you. Make most of our student success program.
Prerequisites
Knowledge of Programming Language
Enthuziasm to learn
Requirements
Laptop or PC with Pycharm Software
Frequently asked questions (FAQs)
Expand all
If you want to add value to your resume or start your career as a data scientist using Python knowledge, this is the right course for you.
All the analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and any enthuziast with a genuine interest in Data science can join this course.
By the end of this course, you will get proficiency in using Python for data analysis. You will be ready to work as a data scientist in the IT field.
Yes, all our classes are conducted online. These classes are no different than taking up face-to-face, physical chess training. Taking up online lessons help you save significant time, money, and energy.
You will need to download Enthu app. It will have all your classes and all your schedule in one place. You can join classes directly from the app (both mobile and desktop app are available). You will get regular reminder for classes on the app so that you never forget a class. App can also be used to share feedback for each session.
We have 1:1 as well as n:1 classes. You can make your choice when enrolling in the course. For group classes, we take only small batches not exceeding 5 students at a time.
In the case of 1:1 class, you can easily reschedule your class with the help of support team or through the app. In the case of group classes, class recording will be available to you in the Enthu app. You can watch them and get any doubts you have answered in the next class.
Yes, our curriculum has been designed by our teachers with more than a decade of experience in the respective subject. It is a tried and tested curriculum to help you uncover your best.
We take utmost care to ensure privacy during our online live sessions. Only verified students can join the sessions. This makes our sessions completely safe and secure. We do not share this personal information with any third parties.
You can reach out to support team on Enthu App or email at support@enthu.com
You can cancel your enrollment by emailing at support@enthu.com within 5 working days of your registration.
We offer 30 Day Money Back Guarantee. You can ask for refund by emailing at support@enthu.com.
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Contact
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+18044084086
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Mumbai, MahaRashtra
400092 (India)
+91-76708-58585