Data Science With Python Course [Learn Python for Data Science]

Name: Data Science with Python Certification Course
Item: Data Science with Python Certification Course
Rating: 5
Author: Harsha KR

Why should you take Data Science with Python course?

According to the U.S. Bureau of Labor Statistics, there will be around 11.5 million new jobs for Data Science professionals by 2026

Avail up to Rs 14,500* from Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment

The national average salary of a data scientist is $119,563 per annum according to the United States Bureau of Labor Statistics

Introduction to Data Science and ML using Python

Topics:

Overview of Python
The Companies using Python
Different Applications where Python is Used
Discuss Python Scripts on UNIX/Windows
Values, Types, Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the Screen
What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science

Hands-On:

Creating “Hello World” code
Variables
Demonstrating Conditional Statements
Demonstrating Loops

Skills You will Learn:

Basics of Python Programming
Command Line Parameters and Flow Control in Python

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Data Handling, Sequences and File Operations

Topics:

Data Analysis Pipeline
What is Data Extraction?
Types of Data
Raw and Processed Data
Data Wrangling
Python files I/O Functions
Numbers
Strings and related operations
Tuples and related operations
Lists and related operations
Dictionaries and related operations
Sets and related operations

Hands-On:

Tuple - properties, related operations, compared with the list
List - properties, related operations
Dictionary - properties, related operations
Set - properties, related operations

Skills You will Learn:

Taking input from the user and performing operations on it
Data types in Python

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Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions

Topics:

Functions
Function Parameters
Global Variables
Variable Scope and Returning Values
Lambda Functions
Object Oriented Concepts
Standard Libraries
Modules Used in Python
The Import Statements
Module Search Path
Package Installation Ways
Errors and Exception Handling
Handling Multiple Exceptions

Hands-On:

Lambda function in Python
Errors and Exceptions in Python
Packages and Modules in Python
Functions - Syntax, Arguments, Keyword Arguments, Return Values
Sorting - Sequences, Dictionaries, Limitations of Sorting

Skills You will Learn:

Object Oriented Concepts
Python Functions, Standard Libraries and Modules
Handling Exceptions in Python

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Introduction to NumPy, Pandas, and Matplotlib

Topics:

Data Analysis
NumPy - arrays
Operations on arrays
Indexing, slicing, and iterating
Reading and writing arrays on files
Pandas - data structures & index operations
Reading and Writing data from Excel/CSV formats into Pandas
Metadata for imported Datasets
Matplotlib library
Grids, axes, plots
Markers, colors, fonts, and styling
Types of plots - bar graphs, pie charts, histograms
Contour plots

Hands-On:

NumPy library - Creating NumPy array, operations performed on NumPy array
Pandas library - Creating series and data frames, Importing and exporting data
Matplotlib library - Using Scatterplot, histogram, bar graph, a pie chart to show information, Styling of Plot

Skills You will Learn:

Basic Functionalities of the NumPy library in Python
Basic Functionalities of the Pandas library in Python
Basic Functionalities of the Matplotlib library in Python

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Data Manipulation

Topics:

Basic Functionalities of a data object
Merging of Data objects
Concatenation of data objects
Types of Joins on data objects
Exploring and analyzing datasets
Analysing a dataset

Hands-On:

Pandas Function- Ndim(), axes(), values(), head(), tail(), sum(), std(), iteritems(), iterrows(), itertuples(), GroupBy operations, Aggregation, Concatenation, Merging and joining

Skills You will Learn:

Performing data manipulation using various functionalities of the Pandas library in Python

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Introduction to Machine Learning with Python

Topics:

What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
Gradient descent

Hands-On:

Linear Regression – Boston Dataset

Skills You will Learn:

Machine Learning concepts
Machine Learning types
Linear Regression Implementation

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Supervised Learning - I

Topics:

What are Classification and its use cases?
What is a Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?

Hands-On:

Implementation of Logistic Regression, Decision Tree, Random Forest algorithms

Skills You will Learn:

Supervised Learning concepts
Implementing various Supervised Learning algorithms
Evaluating model output

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Dimensionality Reduction

Topics:

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA

Hands-On:

Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA

Skills You will Learn:

Implementing Dimensionality Reduction Technique

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Supervised Learning - II

Topics:

What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is a Support Vector Machine?
Illustrate how Support Vector Machine works.
Hyperparameter Optimization
Grid Search vs. Random Search
Implementation of Support Vector Machine for Classification

Hands-On:

Implementation of Naïve Bayes, SVM algorithms

Skills You will Learn:

Supervised Learning concepts
Implementing various Supervised Learning algorithms
Evaluating model output

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Unsupervised Learning

Topics:

What is Clustering & its Use Cases?
What is K-means Clustering?
How does the K-means algorithm works?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How does Hierarchical Clustering work?

Hands-On:

Implementing K-means Clustering
Implementing Hierarchical Clustering

Skills You will Learn:

Unsupervised Learning concepts
Implementation of various Clustering techniques

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Association Rules Mining and Recommendation Systems

Topics:

What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How do Recommendation Engines work?
Collaborative Filtering
Content-Based Filtering

Hands-On:

Implementing Apriori Algorithm
Performing Market Basket Analysis

Skills You will Learn:

Data Mining using Python
Recommender Systems using Python

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Reinforcement Learning (Self-Paced)

Topics:

What is Reinforcement Learning?
Why Reinforcement Learning?
Elements of Reinforcement Learning
Exploration vs. Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
Values

Hands-On:

Calculating Reward
Discounted Reward
Calculating Optimal quantities
Implementing Q Learning
Setting up an Optimal Action

Skills You will Learn:

Implementing Reinforcement Learning using Python
Developing Q Learning model in Python

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Time Series Analysis (Self-Paced)

Topics:

What is Time Series Analysis?
Importance of TSA
Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity
ACF & PACF

Hands-On:

Checking Stationarity
Converting non-stationary data to stationary
Implementing Dickey-Fuller Test
Plotting ACF and PACF
Generating the ARIMA plot

Skills You will Learn:

TSA Forecasting in Python

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Model Selection and Boosting

Topics:

What is Model Selection?
Need for Model Selection
Cross Validation
What is Boosting?
How do Boosting Algorithms work?
Types of Boosting Algorithms
Adaptive Boosting

Hands-On:

Performing Cross Validation
Implementing AdaBoost using Python

Skills You will Learn:

Performing Model Selection
Boosting algorithms using Python

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Statistical Foundations (Self-Paced)

Topics:

What is Exploratory Data Analysis?
EDA Techniques
EDA Classification
Univariate Non-graphical EDA
Univariate Graphical EDA
Multivariate Non-graphical EDA
Multivariate Graphical EDA
Heat Maps

Hands-On:

Implementing Graphical EDA Techniques
Implementing Non-Graphical EDA Techniques

Skills You will Learn:

Performing EDA on the dataset(s) in Python

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Database Integration with Python (Self-Paced)

Topics:

Basics of database management
Python MySql
Create database
Create a table
Insert into table
Select query
Where clause
OrderBy clause
Delete query
Drop table
Update query
Limit clause
Join and Self-Join
MongoDB (Unstructured)
Insert_one query
Insert_many query
Update_one query
Update_many query
Create_index query
Drop_index query
Delete and drop collections
Limit query

Hands-On:

CRUD operations using Python MySql and MongoDB

Skills You will Learn:

Database management systems
Database Integration with Python
Working of database applications

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Data Connection and Visualization in Tableau (Self-Paced)

Topics:

Data Visualization
Business Intelligence tools
VizQL Technology
Connect to data from the File
Connect to data from the Database
Basic Charts
Chart Operations
Combining Data
Calculations

Hands-On:

Connecting to data from File, Database, and Server
Performing operations on Hierarchies, Data Granularity and Highlighting feature
Creating calculated fields using basic functions
Defining LOD expressions
Creating Parameters
Performing User Input and What-if analysis

Skills You will Learn:

Data Distribution using various charts in Tableau
Combining Data using Joins, Unions and Data Blending
Sorting, Filtering and Grouping Techniques
Table Calculations in Tableau

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Advanced Visualizations (Self-Paced)

Topics:

Trend lines
Reference lines
Forecasting
Clustering
Geographic Maps
Using charts effectively
Dashboards
Story Points
Visual best practices
Publish to Tableau Online

Hands-On:

Analyzing data using techniques including Forecasting, Trend Lines, Reference Lines, Clustering, and Geographic Maps
Building Dashboard Layout and Formatting
Building Story points

Skills You will Learn:

Advanced visualization techniques in Tableau
Building Dashboards and Stories in Tableau

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In-Class Project (Self-Paced)

Topics:

Predict the species of Plant

Hands-On:

Analyze the data.
Predict the plant species.

Skills You will Learn:

Data Pre-processing
Feature Engineering
Implementation of Machine Learning Algorithm

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Testimonial Reviews

Harsha KRDotcom Senior Analyst

I recently completed the Data Science with Python course from Edureka, and Iâm excited to share ... Read More

S L Prasanth Kumar

It was an Awesome experience with Edureka trainers. I have enrolled for PG Diploma AI-ML and master� ... Read More

Vivek Chauhan

One of the best platforms for data science and other programming courses. They have one of the best ... Read More

Ashish

Great experience with edureka instructor and team. Excellent teaching staff. Query solve on the sp ... Read More

Suraj Kumar S

The course and curriculum was well structured and easy to follow. The instructor made the sessions v ... Read More

Sonali L Pulate

The classes were really good and worth attending. The instructor is very knowledgeable and knows how ... Read More

What is Python for Data Science?

Data is everywhere, and data science will help us extract it. Python has been used to implement numerous data science applications. Python is a generic programming language for creating websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to execute various data science activities.

Why should I learn Data Science with Python Course?

Python is unquestionably one of the most popular data science languages, capable of data analysis, manipulation, and visualization. It has access to many of Data Science libraries, making it ideal for designing applications and applying algorithms.

Where Can I Learn Python for Data Science?

Yes, Edureka’s Data Science with Python course is available online. It allows you to learn at your own pace without any barriers. Edureka's Data Science with Python certification course offers live classes and online access to study material from any location.

Who are the instructors of the Python Data Science Course?

All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python for Data Science Course.

How will I execute practical’s in Edureka's Data Science with Python Certification Course?

You will do your Assignments/Case Studies using Jupyter Notebook, already installed on your Cloud Lab environment, whose access details will be available on your LMS. You will be accessing your Cloud Lab environment from a browser. For any doubt, the 24*7 support team will promptly assist you.

What does a Python Data Science Expert do?

A Data Science Expert applies statistical, mathematical, and computational techniques to analyze and interpret large and complex datasets to extract insights, make predictions, and inform decision-making.

What if I have more queries with regards to Data Science with Python course?

Just give us a CALL at +91 98702 76459/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co

Which Data Science with Python course is best for beginners?

Edureka provides the best Python for Data Science course, which is well-suited for beginners and professionals. This course is designed by subject matter experts and provides hands-on experience with real-time projects and case studies. It helps you learn Python for Data Science from scratch.

What is CloudLab?

CloudLab is a cloud-based Jupyter Notebook which is pre-installed with Python packages on the cloud-lab environment. It is offered by Edureka as a part of the Python for Data Science Course where you can execute all the in-class demos and work on real-life projects in a fluent manner. You’ll be able to access the CloudLab via your browser which requires minimal hardware configuration. In case, you get stuck in any step, our support ninja team is ready to assist 24x7.

What skills should a Data Science Expert know?

A Data Science Expert should have a combination of technical and non-technical skills, Here are the required Data scientists skills:

Strong programming skills in languages like Python, R, and SQL.
Proficiency in statistical analysis, machine learning, and data visualization techniques.
Knowledge of data structures, algorithms, and database systems.
Strong problem-solving skills and ability to work with large and complex datasets.
Understanding of business processes and ability to communicate effectively with stakeholders.
Knowledge of software engineering principles for building scalable and maintainable data pipelines.
Continual learning mindset to keep up with the latest trends and technologies in the field.

Which kind of projects will be a part of this Data Science with Python Certification Course?

Project Title: Consumer Complaint Resolution

Problem Statement: Predicting which complaints have a higher potential to be disputed and identifying systematic issues can help enhance the quality of communication and satisfactory resolution.

Where can I learn Python for Data Science for free?

There are multiple free resources available online, like blogs, tutorials, and YouTube videos. You can explore these resources on the edureka website for free. These resources will help you learn the basics of Python data science concepts. However, to gain an in-depth understanding, it is advisable to enroll in a paid data science with Python course.

Does Edureka provide any free learning resource for Data Science with Python course?

If you are looking for free resources on Python for Data Science then read our blogs on Data Science tutorial, and Data Science Interview Questions.

What if I miss a Data Science with Python Course class?

You will never miss a lecture at edureka! You can choose either of the two options:

View the recorded session of the class available in your LMS.
You can attend the missed session in any other live batch.

What type of job can I get after completing a Data Science with Python course?

Here are some most common job opportunities available after completing Dara Science with Python Course:

Business Intelligence Analyst
Data Mining Engineer
Data Architect
Data Scientist
Senior Data Scientist

Will I get placement assistance after Data Science with Python Training?

To help you in this endeavor, we have added a resume builder tool to your LMS. Now, you can create a winning resume in just 3 easy steps. You will have unlimited access to these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

What are the other Data Science courses offered by Edureka apart from this Data Science with Python Course?

Other Data Science courses offered by Edureka are:

Data Science with R Programming Certification Training Course

Can I attend a demo session before enrollment in Python for Data Science Course?

We have a limited number of participants in a live session of Data Science with Python course to maintain the Quality Standards. So, unfortunately, participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight into how the classes are conducted, quality of instructors and the level of interaction in a class.

Does Python help in Data Science?

Python has several built-in libraries, frameworks, and tools that can be used to implement various functions of data science. Python's syntax is much more understandable than other programming languages like Scala and R. It is a data science tool that allows you to explore data science concepts in the most effective way possible. This makes it a highly skilled language and makes it the ideal choice for the Data Science Field.

How is Python used in Data Science?

Python has become the most demanding language in the data science communities due to it's compatibility and easy to use syntax. You can learn even if you don’t have an engineering and science background. Its versatility and easy to understand makes Python the most sought after-skills that big organizations are looking for in a data science professional.

What will I get once I sign up for the Data Science with Python Course?

You can access all the Specialization courses when you sign up for the course. Once you have completed the work, you will receive a certificate added to your Accomplishments page. From there, you can print it or add it to LinkedIn. You can view and read the course content for free if you don't want to pay.

Which companies will hire me once I become a Python for Data Science professional?

Data science has grown by a substantial extent today. Companies in almost every industry are trying to have a data science team to help them use their data for the company’s progress.

Here, we have compiled a list of reputed companies that are currently hiring data scientists.

1. Sigmoid

2. Mindtree

3. LinkedIn

4. Paypal

5. Oracle

6. TCS

7. ZIGRAM

What are the popular cities where Edureka provides Data Science with Python courses?

Here is the list of cities where Edureka provides Data Science with Python Course:

India	USA
Bangalore	Washington
Hyderabad	New York City
Chennai	Charlotte
Delhi	Austin
Gurgaon	Dallas
Kolkata	San Antonio
Mumbai	San Jose
Noida	Seattle

What is the Avg Salary range for Data scientists in various countries?

The salary range for Data scientists in various countries according to a salary survey by Payscale, Glassdoor, and talent.com:

Countries	Data scientists Avg Salary
India	₹10,00,000 Per Year
US	$74439 Per Year
Australia	A$115,000 Per Year
Canada	C$79858 Per Year
UK	£52,052 Per Year
Singapore	S$70932 Per Year
UAE	AED 181776 Per Year

What are the cost/training fee for the Data Science with Python Course in other countries?

Find the cost of Data Science with Python Course in different countries:

Countries	Data Science with Python Course Cost
India	INR19,795
US	$539
Australia	$710
Canada	$701
UK	£413
Singapore	$737
UAE	$539

What is the Average Salary of Data scientists across the world?

According to Payscale, the average salary for a Data Scientist with Python skills is $98307.

What are the other countries/cities where Edureka provides Data Science with Python courses apart from India and US?

The countries/cities where Edureka provides Data Science with Python courses are:

Can you become a Data Scientist with Python only?

Although Python alone can be used to use data science in some instances, unfortunately for the corporate world, it's only part of the puzzle for companies to manage a large amount of data. Python is a fascinating coding language to master, especially for those who want to become data scientists. Its significance of it in data science should be considered and valued.

View course curriculum

Data Science with Python Certification Course

Why should you take Data Science with Python course?

Instructor-led Data Science with Python course live online classes

Financing Options

Data Science with Python Course Curriculum

Introduction to Data Science and ML using Python

Data Handling, Sequences and File Operations

Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions

Introduction to NumPy, Pandas, and Matplotlib

Data Manipulation

Introduction to Machine Learning with Python

Supervised Learning - I

Dimensionality Reduction

Supervised Learning - II

Unsupervised Learning

Association Rules Mining and Recommendation Systems

Reinforcement Learning (Self-Paced)

Time Series Analysis (Self-Paced)

Model Selection and Boosting

Statistical Foundations (Self-Paced)

Database Integration with Python (Self-Paced)

Data Connection and Visualization in Tableau (Self-Paced)

Advanced Visualizations (Self-Paced)

In-Class Project (Self-Paced)

Data Science with Python Course Description

About Data Science with Python Certification Course

What are the prerequisites for this Data Science with Python Course?

What are the objectives of our Data Science with Python Course?

Who should go for this Data Science with Python course?

What is the Data Science with Python Course duration?

What is the Data Science with Python Course fee?

What topics are covered in Data Science with Python course syllabus?

Testimonial Reviews

Video Reviews

Data Science with Python Course FAQs

What is Python for Data Science?

Why should I learn Data Science with Python Course?

Where Can I Learn Python for Data Science?

Who are the instructors of the Python Data Science Course?

How will I execute practical’s in Edureka's Data Science with Python Certification Course?

What does a Python Data Science Expert do?

What if I have more queries with regards to Data Science with Python course?

Which Data Science with Python course is best for beginners?

What is CloudLab?

What skills should a Data Science Expert know?

Which kind of projects will be a part of this Data Science with Python Certification Course?

Where can I learn Python for Data Science for free?

Does Edureka provide any free learning resource for Data Science with Python course?

What if I miss a Data Science with Python Course class?

What type of job can I get after completing a Data Science with Python course?

Will I get placement assistance after Data Science with Python Training?

What are the other Data Science courses offered by Edureka apart from this Data Science with Python Course?

Can I attend a demo session before enrollment in Python for Data Science Course?

Does Python help in Data Science?

How is Python used in Data Science?

What will I get once I sign up for the Data Science with Python Course?

Which companies will hire me once I become a Python for Data Science professional?

What are the popular cities where Edureka provides Data Science with Python courses?

What is the Avg Salary range for Data scientists in various countries?

What are the cost/training fee for the Data Science with Python Course in other countries?

What is the Average Salary of Data scientists across the world?

What are the other countries/cities where Edureka provides Data Science with Python courses apart from India and US?

Can you become a Data Scientist with Python only?

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