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Python + Data Science Online Course

Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from noisy, structured and unstructured data, and apply knowledge from data across a broad range of application domains.





Working With data

Real Time Case study

Expert Support

Hands on Experience


Presenters By Mr. aryan


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-Python for Data Analysis – NumPy

  • Introduction to NumPy
  • NumPy Arrays
  • Aggregations
  • Computation on Arrays: Broadcasting
  • Fancy Indexing
  • Sorting Arrays
  • NumPy’s Structured Arrays


-Python for Data Analysis – Pandas

  • Installing Pandas
  • Pandas Objects
  • Data Indexing and Selection
  • Operating on Data in Pandas
  • Handling Missing Data
  • Hierarchical Indexing
  • Concat and Append
  • Merge and Join
  • Aggregations and Grouping
  • Pivot Tables
  • Vectorised String Operations
  • Working with Time Series

-Python for Data Visualisation – Matplotlib

  • Overview
  • Object-Oriented Interface
  • Two Interfaces
  • Simple Line Plots and Scatter Plots
  • Visualising Errors
  • Contour Plots
  • Histograms, Binnings, and Density
  • Customising Plot Legends
  • Customising Colour Bars
  • Multiple Subplots
  • Text Annotation
  • Three-Dimensional Plotting

-Python for Data Visualisation – Seaborn

  • Installing Seaborn and Load Dataset
  • Plot the Distribution
  • Regression Analysis
  • Basic Aesthetic Themes and Styles
  • Distinguish between Scatter Plots, Hexbin Plots, and KDE Plots
  • Use Boxplots and Violin Plots

-Machine Learning

  • Introduction
  • Importance
  • Types
  • Working
  • Machine Learning Mathematics

-Natural Language Processing

  • Introduction
  • NLP Example
  • Advantages
  • NLP Applications

-Deep Learning

  • Introduction
  • Importance
  • Working

-Big Data

  • Big Data Analytics
  • State of Practice in Analytics
  • Main Roles for New Big Data Ecosystem
  • Phases of Data Analytics Lifecycle0

-Working with Data in R

  • Data Manipulation in R
  • Data Clean Up
  • Reading and Exporting Data
  • Importing Data
  • Charts and Graphs

-Regression in R

  • Regression Analysis
  • Linear Regression
  • Logistic Regression
  • Multiple Regression
  • Normal Distribution
  • Binomial Distribution

-Modelling Data in Power BI

  • Power BI Data Model
  • What are the Relationships?
  • Viewing Relationships
  • Creating Relationships
  • Cardinality

-Shaping and Combining Data Using Power BI

  • Query Editor
  • Shaping Data and Applied Steps
  • Advanced Editor
  • Formatting Data
  • Transforming Data
  • Combining Data

-Interactive Data Visualisations

  • Page Layout and Formatting
  • Multiple Visualisation
  • Creating Charts
  • Using Geographic Data
  • Histograms

Time Table


8:00pm - 9:15pm EST


6:00pm - 9:00pm EST


6:00pm - 9:00pm EST


The Data Science course runs behind skills like Mathematics, Statistics, Algebra, Probabilities, and so on. It is connected with different structures like Data management, Databases, ML Algorithms, Stats, Software development, and so on. Thus, this course is for Developers, Business Analysts, Analytics Managers, and so on.
To learn Data Science one should have primary knowledge of Mathematics, Statistics, Aptitude, and so on. Along with these having a concept of Algorithms, Coding, SQL, etc will assist to recognize the subject easily.
The Data Science Course will assist you to get practical information of Data Science, data analysis, data types, and so on with real-time examples to get expert knowledge.
The Data Science Online Training from CodingExpo will give you real-time industry experience from Data Science professionals on its usage, different technological aspects, and so on.
After getting certified in our Data Science Course, you can expect yourself to work in a higher position within a company with a higher payout.
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Niharika Bhagat
Niharika Bhagat
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Great introduction to Python and programming as a whole. Everything is broken down making it easy to understand. Had zero programming experience before and this class made it easy and fun to get into.
Irshad Ahmad
Irshad Ahmad
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Very good introduction to basic programming. Very easy for beginners in python who have already some programming background - but still extremely useful to quickly and efficiently learn python basics.
Shree Gehtol
Shree Gehtol
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excellent for beginners, very well described, great understanding grasped and its simple, very simple, but thats what makes it 5 star, is that its for anyone or as the title says python for Everybody.
Girish K
Girish K
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This course is organised and explained very well. It is moderately challenging, and I recommend it to get interested in Python. The teacher and the assistant staff are very good. I enjoyed the course.

Why Choose Us

Six Reasons For People Choosing Us

100% online courses

CodingExpo provide 100% online courses in one platform.

Self-paced learning option

CodingExpo also have self learning option to upgrade your learning skills.

Programming assignments with feedback

After completing each topic you will get an assignment and give feedback.

Live project work

We will give you a live project and you have to complete it.

100% Job Assistance

We have our own placement cell, they will guide you for the placement.

Lifetime access

You will get lifetime access to the course you have taken.

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