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Data Science with Python Certification Course
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Data Science with Python Training Course in Singapore

Name: Data Science with Python Certification Course
Item: Data Science with Python Certification Course
Rating: 5
Author: Sujit Samal

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Edureka's hands-on Data Science with Python Course in Singapore will help you learn the most basic and advanced concepts of Python using Data Science. During this training, you will master various Python libraries such as Pandas, Numpy, and Matplotlib, essential for Data Science. With this Data Science Python course in Singapore, Edureka provides the best platform to learn Python online. Acquiring knowledge in Data Science Python will be the key to unlocking your career as a Data Scientist.

109k+ learners took Mastering Python training in Singapore Read Reviews

60 days of Cloud Lab access

Why This Data Science with Python Course in Singapore?

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

The median salary for an experienced Data Scientist is $1628,00 - Zip Recruiter

According to the TIOBE index, Python is one of the most popular programming languages in the world.

Instructor-led Data Science with Python course live online classes

Sep 24 ^th

Sat & Sun (7 Weeks) Weekend Batch

Sold Out Timings - 09:30 AM to 12:30 PM (SGT)

Oct 08 ^th

Sat & Sun (7 Weeks) Weekend Batch

Filling Fast Timings - 09:30 AM to 12:30 PM (SGT)

Oct 17 ^th

Mon - Fri (21 Days)

Timings - 09:30 AM to 11:30 AM (SGT)

Nov 12 ^th

Sat & Sun (7 Weeks) Weekend Batch

Timings - 11:00 PM to 02:00 AM (SGT)

Nov 14 ^th

Mon - Fri (21 Days)

Timings - 11:00 PM to 01:00 AM (SGT)

Course Price at

696 819

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Data Science with Python Course in Singapore Curriculum

Introduction to 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

Hands-On:

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

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Sequences and File Operations

Topics:

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

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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:

Functions - Syntax, Arguments, Keyword Arguments, Return Values
Lambda - Features, Syntax, Options, Compared with the Functions
Sorting - Sequences, Dictionaries, Limitations of Sorting
Errors and Exceptions - Types of Issues, Remediation
Packages and Module - Modules, Import Options, sys Path

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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 - Using Scatterplot, histogram, bar graph, a pie chart to show information, Styling of Plot

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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 a Dataset
Analyzing a dataset

Hands-On:

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

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Introduction to Machine Learning with Python

Topics:

Python Revision (numpy, Pandas, scikit learn, matplotlib)
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression

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

Skills You will Learn:

Supervised Learning concepts
Implementing different types of 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:

PCA
Scaling

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

Skills You will Learn:

Supervised Learning concepts
Implementing different types of 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
Implementation of Clustering – various types

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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:

Apriori Algorithm
Market Basket Analysis

Skills You will Learn:

Data Mining using python
Recommender Systems using Python

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Reinforcement Learning

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:

Implement Reinforcement Learning using Python
Developing Q Learning model in Python

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Time Series Analysis

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
Plot ACF and PACF
Generating the ARIMA plot
TSA Forecasting

Skills You will Learn:

TSA 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:

Cross Validation
AdaBoost

Skills You will Learn:

Model Selection
Boosting algorithm 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

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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

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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

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Data Science Python Training in Singapore Course Description

Data Science with Python Course in Singapore will teach Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s Data Science with Python in Singapore will also cover both basic and advanced concepts like writing Python scripts, sequence, and file operations. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like machine learning, scripts, and sequence.

Why Learn Python for Data Science?

Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.

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

After completing this Data Science using 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 I 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
Perform Text Mining and Sentimental analysis
Explain Time Series and its related concepts
Gain expertise to handle business in future, living the present

Edureka offers the best online course for Python Data Science. Enroll now with our data Science with Python training and get a chance to learn from industrial giants.

Who should go for this Python Data Science online course?

Edureka’s course is a good fit for the below professionals:

Programmers, Developers, Technical Leads, Architects
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 are the prerequisites for this Data Science with Python Training?

The pre-requisites for Edureka's Python Data Science course training includes the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, you will be provided with complimentary “Python Statistics for Data Science” as a self-paced course once you enroll for the Data Science with Python certification course.

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Module 1: Introduction to Python

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Data Science with Python Certification

Edureka’s Data Science with Python Certification Course Certificate Holders work at 1000s of companies like

Data Science with Python Training Course in Singapore Certificate

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Data Science with Python Certification Course

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Testimonial Reviews

Sujit SamalTechnical Lead, Wipro

I have been an Edureka!'s happy customer since 2013. I am a customer of Edureka enrolled for Big dat ... Read More

Praveen KonkisaBI Architect & Hadoop Specialist at Teradata

I have taken Informatica, Hadoop, R-programming, Spark and Scala and several other training's from p ... Read More

Venkat RamanaTest Architect at NCR corporation pvt ltd

Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even d ... Read More

Anil AlgolePrinciple Consultant at Infosys

Experience with Edureka is world class. I took 2 courses Informatica PowerCenter 9.x and Tableau Cer ... Read More

Venkateswarlu ponnaAgile Test Lead (UAT)

Edureka is Best Online training in throughout my career (11 years). I subscribed for DevOps and cour ... Read More

Farhan KarmaliVirtual Learning Environment Developer. Islamic Online University, Mumbai, Maharashtra, India

Edureka aptly named, gives the students a Eureka" Moment during the course. Learning is a world to e ... Read More

Video Reviews

Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.

Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.

Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.

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Structure your learning and get a certificate to prove it.

Data Science with Python Training in Singapore Projects

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 that is 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 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 Python 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.

Which kind of projects will be a part of this 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 in enhancing the quality of communication and satisfactory resolution.

Features of Data Science with Python Course in Singapore

Instructor-led Live Sessions

42 Hours of Online Live Instructor-led Classes. Weekend class :14 sessions of 3 hours each and Weekday class :21 sessions of 2 hours

Real-Life Case Studies

Live project based on any of the selected use cases, involving the implementation of Data Science with Python.

Assignments

Every class will be followed by practical assignments which aggregate to a minimum of 60 hours.

Lifetime Access

Lifetime access to Learning Management System (LMS) which has class presentations, quizzes, installation guide & class recordings.

24 x 7 Expert Support

Lifetime access to our 24x7 online support team who will resolve all your technical queries, through ticket based tracking system.

Certification

Completion of the project will get you certified as a Python for Data Science Professional by Edureka and FutureSkills Prime

Forum

Access to the global community forum for all our users that further facilitates learning through peer interaction and knowledge sharing.

Data Science with Python Course in Singapore

What is Data Science with Python?

Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.

Why should I learn Data Science with Python Course?

Python is definitely one of the most popular languages in Data Science, which can be used for data analysis, manipulation, and visualization. It has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.

Where Can I Learn Data Science with Python Course?

Although there are many free learning resources available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online python course for data science that will take you from beginner to data analyst in Python or data scientist.

Can I learn a Python Data Science course online?

Technology has made it easier and more efficient to learn 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 at any time. You will be able to grasp the key concepts quickly with our extensive and growing collection of tutorials, blogs, and YouTube videos. We offer a 24/7 support service to answer any questions you may have after your class ends.

Who are the instructors for 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 Data Science Training.

How long will it take for you to learn Python for Data science?

It can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.

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

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

Why is it essential to learn Data Science with Python course?

Python is preferred by data scientists over other languages because it has powerful machine learning libraries that can be used to build any machine learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.

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 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.

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.

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

If you are looking for free resources on Python and 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 Python course?

This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you. To name a few, some of the most common job titles for data scientists include:

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 in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use 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 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?

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.

Is R better than Python for Data Science?

TIOBE, Stack Overflow, and RedMonk indicate that Python is the most popular programming language in the broader tech community. This doesn't necessarily make it better, but it does suggest that it is more popular and has a stronger community for support and development.

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 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:

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Singapore

Data Science with Python Training Course in Singapore

Why This Data Science with Python Course in Singapore?

Instructor-led Data Science with Python course live online classes

Financing Options

Data Science with Python Course in Singapore Curriculum

Introduction to Python

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

Time Series Analysis

Model Selection and Boosting

Statistical Foundations (Self-Paced)

Data Connection and Visualization in Tableau (Self-Paced)

Advanced Visualizations (Self-Paced)

Data Science Python Training in Singapore Course Description

Why Learn Python for Data Science?

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

Who should go for this Python Data Science online course?

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

Testimonial Reviews

Video Reviews

Data Science with Python Training in Singapore Projects

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

What is CloudLab?

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

Features of Data Science with Python Course in Singapore

Instructor-led Live Sessions

Real-Life Case Studies

Assignments

Lifetime Access

24 x 7 Expert Support

Certification

Forum

Data Science with Python Course in Singapore

What is Data Science with Python?

Why should I learn Data Science with Python Course?

Where Can I Learn Data Science with Python Course?

Can I learn a Python Data Science course online?

Who are the instructors for the Python Data Science Course?

How long will it take for you to learn Python for Data science?

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

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

Why is it essential to learn Data Science with Python course?

What is CloudLab?

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

Does Edureka provide any free learning resource for Data Science using 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 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 Course?

Can I attend a demo session before enrollment?

Does Python help in Data Science?

Is R better than Python for Data Science?

How is Python used in Data Science?

What will I get once I sign up for the 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?

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