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
Data Science with Python Certification Course Benefits
Data science job opportunities are projected to increase by 30% annually, and proficiency in Python programming and data science can unlock vast job prospects. The rise in demand for skilled data scientists and machine learning engineers has prompted more businesses to incorporate machine learning into their operations and help companies analyze and process data, leading to quick and effective decision-making. Obtaining a Data Science and ML Certification from Edureka is the optimal way to secure a lucrative job in this field.
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Why Data Science with Python course from edureka
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
About your Data Science with Python course
Data Science with Python Skills Covered
Python Programming
Statistical Foundations
Data Analysis and Visualization
Supervised and Unsupervised Machine Learning
Database Integration with Python
Data Visualization Using Tableau
Data Science with Python Tools Covered
Data Science with Python Course Syllabus
Curriculum Designed by Experts
DOWNLOAD CURRICULUM
Introduction to Data Science and ML using Python
16 Topics
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
Data Handling, Sequences and File Operations
12 Topics
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
Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions
Performing data manipulation using various functionalities of the Pandas library in Python
Introduction to Machine Learning with Python
6 Topics
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
Supervised Learning - I
6 Topics
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
Dimensionality Reduction
6 Topics
Topics:
Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA
Hands-on:
Implementing PCA
Scaling dimensional model
Implementing LDA
Skills You will Learn:
Implementing Dimensionality Reduction Technique
Supervised Learning - II
8 Topics
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
Unsupervised Learning
7 Topics
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
Association Rules Mining and Recommendation Systems
7 Topics
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
Reinforcement Learning (Self-Paced)
9 Topics
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
Time Series Analysis (Self-Paced)
10 Topics
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
Model Selection and Boosting
7 Topics
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
Statistical Foundations (Self-Paced)
8 Topics
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
Database Integration with Python (Self-Paced)
22 Topics
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
Data Connection and Visualization in Tableau (Self-Paced)
9 Topics
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
Advanced Visualizations (Self-Paced)
10 Topics
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
In-Class Project (Self-Paced)
1 Topics
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
Data Science with Python Course Description
About Data Science with Python Certification Course
Edureka's Data Science with Python Certification Training teaches you the significance of data science, machine learning, and its application in Python. This course helps you gain proficiency in automating real-world scenarios with machine learning algorithms. Edureka offers the most exceptional online Data Science with Python training if you are dedicated to becoming proficient in Python. Seize the opportunity and enroll in an online Data Science with Python Certification Course now to benefit from the teaching of industry experts. Elevate your Python skills with us today.
What are the prerequisites for this Data Science with Python Course?
The prerequisites for Edureka's Python for Data Science Course include a fundamental understanding of Computer Programming Languages.
What are the objectives of our Data Science with Python Course?
After completing this Data Science with Python Certification course, you will be able to:
Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using python notebooks, master the art of presenting step-by-step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and its related concepts
Perform Text Mining and Sentiment analysis
Edureka offers the best online course for Python data science and ML. Enroll now in our Data Science with Python training and get a chance to learn from industry leaders.
Who should go for this Data Science with Python course?
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
Professionals who want to design automatic predictive models
What is the Data Science with Python Course duration?
The duration of the Data Science with Python Course is approximately 5 to 10 weeks. Depending on their experience with web development, data science, and other related fields, it may vary from person to person.
What is the Data Science with Python Course fee?
The Data Science with Python course fee is INR 21995, but you can get it at a discounted price of INR 19795. You can get 10% OFF and save 2200. No Cost EMI Starts at 6,599 / month.
What topics are covered in Data Science with Python course syllabus?
Here is the list of topics covered in the Data Science with Python Course Syllabus:
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 Projects
Industry: Automobile
Riding the digital wave, India's used car market is set to grow at a compounded annual growth of 11% and likely to touch sales of up to 8.3 million units by FY26 as more people h....
Industry: Healthcare
Heart Disease is among the most prevalent chronic diseases in the United States, impacting millions of Americans each year and exerting a significant financial burden on the econ....
Data Science with Python Certification
A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative.
You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Completion by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives.
First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies.
End-to-end skilling from assessment to certification.
Affordable, credible content handpicked by industry leaders.
Speed up learning with bite-sized course modules.
Certifications recognized by the industry
GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories:
IT employees in IT Firms and Non-IT firms
Non-IT employees aspiring to use new and emerging technologies in their respective domains
Employees whose skills for a particular job have become outdated.
Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS
Enrolment in the Edureka portal
Successful completion of course modules
Quizzes, assignments and certificate project submission
Assignment and project evaluation by Edureka
Joint co-branded certificate of participation from NASSCOM and Edureka
Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
SSC Certificate issuance by Futureskills Prime on successful completion
Avail for GOI incentives upon successful completion of FutureSkills Prime assessment
To unlock the Edureka’s Data Science with Python Training course completion certificate, you must ensure the following:
Completely participate in this Edureka’s Data Science with Python Training Course.
Evaluation and completion of the quizzes and projects listed.
Yes, Edureka provides a course completion certificate titled Python for Data Science Professional upon completion of the course and fulfillment of minimum requirements.
Data Science with Python Certification provides a strong foundation in data science, machine learning, and Python programming. This certification is valuable for several reasons:
Demonstrates Mastery of Key Skills: Certification indicates that an individual has a strong understanding of data science concepts, machine learning techniques, and Python programming skills.
Improves Job Prospects: Data science and machine learning are high-growth industries, and certification can improve job prospects by demonstrating expertise in these areas.
Increases Earning Potential: Certified data scientists and machine learning engineers often earn higher salaries compared to their non-certified peers.
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Data Science with Python Course FAQs
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?
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:
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:
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.
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