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Data Science with Python Certification Course
New York City

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Data Science with Python Training in NYC

Name: Data Science with Python Certification Course
Item: Data Science with Python Certification Course
Rating: 5
Author: Abhishek Mishra

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Edureka's hands-on Data Science with Python Training in NYC 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 NYC, Edureka provides the best platform to learn Python online. Acquiring knowledge in Data Science Python will be the key to unlock your career as a Data Scientist.

130k+ learners took Mastering Python training in New York City Read Reviews

60 days of Cloud Lab access

Data Science with Python Certification Course

Why should you take Data Science with Python Training Course in NYC??

Python is the preferred language for new technologies such as Data Science and Machine Learning

Data Science and Analytics (DSA) job listings is projected to grow by nearly 364,000 listings in 2020 - IBM

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

Instructor-led Data Science with Python Certification Course live online classes

Dec 13 ^th

Sat & Sun (6 Weeks) Weekend Batch

Sold Out Timings - 10:00 AM to 01:00 PM (EST)

Jan 02 ^nd

Fri & Sat (6.5 Weeks) Weekend Batch

Filling Fast Timings - 08:30 PM to 09:30 PM (EST) ORIENTATION CLASS

Feb 07 ^th

Sat & Sun (6.5 Weeks) Weekend Batch

Timings - 10:00 AM to 11:00 AM (EST) ORIENTATION CLASS

Course Price at

424 499

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Data Science with Python Course in NYC Curriculum

Edureka’s Data Science with Python Training in NYC will provide hands-on experience in Python programming. We offer live-instructor-led sessions which will help you in mastering the concepts involved in Python. With Edureka’s Data Science Python training in NYC, you will learn the essential concepts of Python programming such as Data Structure, Data types, Strings, tuples, lists, basic operators and functions, GUIs, Multi-threading, Data Manipulation, Expressions, Networking, Lambda expressions and much more. Also, in this Data Science Python course, you will gain a thorough knowledge of Python OOPS concepts, modules, Django framework, Database programming, and connectivity to multiple data sources.

Module 1: Introduction to Python for Data Science

Topics:

Set operations
List comprehensions
Generator functions
Using modules
Regex patterns
Special collections
Map & filter
Custom exceptions

Hands-On/Demo:

Writing a “Hello World” script
Manipulating lists and dictionaries
Reading a CSV file

Skills:

Python programming
Data science environment setup

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Module 2: Working with Python Programming

Topics:

OOP concepts
Class inheritance
Context managers
Unit testing
API requests
Code profiling
Logging basics
JSON handling
Project packaging
Type hints

Hands-On/Demo:

Using regex for data cleaning
Creating a generator
Building a custom module

Skills:

Intermediate Python techniques
Efficient code structures

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Module 3: Advanced Python Programming for Data Science

Topics:

NumPy arrays
Vector operations
Math functions
Series handling
DataFrames
Dataset merging
Missing values
Pivot tables
Data summaries
Memory tuning

Hands-On/Demo:

Building a preprocessing class
Fetching API data
Writing a unit test

Skills:

Advanced Python programming
Modular code developmen

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Module 4: Data Analysis with NumPy and Pandas

Topics:

NumPy arrays
Vector operations
Math functions
Series handling
DataFrames
Dataset merging
Missing values
Pivot tables
Data summaries
Memory tuning

Hands-On/Demo:

NumPy array calculations
Cleaning data with Pandas
Creating a pivot table

Skills:

Data manipulation
Basic statistical analysis

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Module 5: Data Visualization and Preprocessing Techniques

Topics:

Matplotlib Plotting
Seaborn Visualization Styles
Line and Bar Charts
Histogram Analysis
Web Scraping Basics
Missing Data Treatment
Feature Scaling Techniques
Encoding Categorical Data
Data Storytelling Approaches

Hands-On/Demo:

Creating Seaborn plots
Scraping website data
Normalizing a dataset

Skills:

Data visualization
Data preprocessing

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Module 6: Statistical Methods for Data Science

Topics:

Descriptive stats
Variance and standard deviation
Probability
Normal distribution
Hypothesis testing: t-tests
Correlation: Pearson coefficient
Outlier detection: z-score
Sampling: random sampling
Statistical visualization
P-values: significance

Hands-On/Demo:

Conducting a t-test
Visualizing correlations
Detecting outliers

Skills:

Statistical analysis
Result interpretation

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Module 7: Fundamentals of Machine Learning

Topics:

CRISP-DM process
ML categories
Python for ML
ML tools
Data lifecycle
Evaluation
Feature basics
AI ethics
Industry insights

Hands-On/Demo:

Setting up an ML project
Exploring a dataset

Skills:

ML workflows
Industry trends

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Module 8: Supervised Learning – Regression Analysis

Topics:

Linear regression
Gradient descent
Polynomial regression
Ridge regression
Error metrics
R-squared
Cross-validation
Residual analysis
Feature selection
Overfitting mitigation

Hands-On/Demo:

Building a linear regression model
Evaluating with RMSE

Skills:

Regression modeling
Model evaluation

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Module 9: Supervised Learning – Classification Fundamentals

Topics:

Logistic regression
Binary labels
Decision trees
Confusion matrix
Precision & recall
ROC curve
Overfitting
Feature ranking
Model validation
Class imbalance

Hands-On/Demo:

Logistic regression model
Decision tree visualization

Skills:

Binary classification
Evaluation metrics

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Module 10: Supervised Learning – Advanced Classification

Topics:

Random forests
SVM
XGBoost
Grid search
Random search
SHAP values
SMOTE
Model stacking
Association rules
Recommendation engines
Model evaluation

Hands-On/Demo:

Random Forest model
Using SHAP for insights
Building Apriori rules

Skills:

Advanced classification
Interpretability, recommendations

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Module 11: Unsupervised Learning and Clustering Techniques

Topics:

K-Means clusters
Elbow method
Hierarchical clustering
DBSCAN logic
PCA reduction
Anomaly detection
Silhouette score
Segmentation use
Cluster visuals

Hands-On/Demo:

K-Means clustering
Applying PCA
Detecting anomalies

Skills:

Unsupervised learning
Dimensionality reduction

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Module 12: AutoML and No-Code Data Science Solutions

Topics:

AutoML tools
DataRobot
KNIME workflows
H2O.ai models
Synthetic data
Rapid prototyping
AI fairness

Hands-On/Demo:

DataRobot model building
KNIME workflow creation
Generating synthetic data

Skills:

AutoML prototyping
No Code workflows

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Module 13: Reinforcement Learning Essentials (Self-paced)

Topics:

Agent-Environment Interaction
OpenAI Gym Setup
Markov Decision Process
Q-Learning Fundamentals
Exploration-Exploitation Tradeoff
Epsilon-Greedy Strategy
Reward Shaping Concepts
Reinforcement Learning Applications
Q-Table Implementation
Reinforcement Learning Limitations

Hands-On/Demo:

Q-Learning in a game
OpenAI Gym experiment

Skills:

RL algorithms
Practical applications

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Module 14: Time Series Analysis and Forecasting Methods (Self-paced)

Topics:

Time Series Components
Stationarity Testing (ADF)
ARIMA Model Parameters
Forecasting with Prophet
Forecast Error Metrics
Backtesting Techniques
Trend Visualization Methods
Confidence Interval Analysis
External Variable Integration
Model Selection Strategies

Hands-On/Demo:

ARIMA model
Prophet forecasting
Visualizing trends

Skills:

Time series analysis
Forecasting

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Module 15: Machine Learning on Cloud Platforms (Self-paced)

Topics:

Cloud ML Introduction
AWS SageMaker
Google Cloud AI
Azure ML
Cloud storage
Serverless ML
Model deployment
Scalability

Hands-On/Demo:

Training a model in SageMaker
Deploying with Google Cloud AI
Using S3 for data storage

Skills:

Cloud-based ML
Scalable model deployment

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Module 16: MLOps Fundamentals (Self-paced)

Topics:

MLOps Introduction
CI/CD for ML
Flask API Deployment
MLflow Model Tracking
Docker Containerization
Model Drift Monitoring
Model Lifecycle Management

Hands-On/Demo:

Deploying with Flask
MLflow pipeline setup

Skills:

MLOps practices

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Data Science Python Training in NYC Description

Edureka provides extensive Data Science with Python training in NYC to assist you in mastering basics with sophisticated theoretical ideas such as writing scripts, sequence, and file procedures in Python while gaining practical experience with functional apps. This Data Science training is combined with hands-on tasks and live projects. Python is a common high-level, open-source programming language with a broad spectrum of apps for games and web applications in automation, big data, data science, and information analytics development. It's a versatile, powerful, object-oriented and interpreted language that you will learn during this Data Science with Python course in NYC.

About Data Science with Python Certification Course in New York

Edureka’s Data Science with Python Certification Training in New York is designed to make you grasp the concepts of Data Science and Machine Learning. As a data scientist, you will learn the importance of machine learning and its implementation in the Python programming language. You will be able to automate real-life scenarios using machine learning algorithms, and towards the end of this course, we will be discussing various practical use cases of machine learning with the Python programming language to enhance your learning experience. Edureka offers the best Data Science with Python training online for those who want to be the best in Python. Enroll now in Edureka's online Data Science with Python Certification to get trained by industry experts.

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

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.

Why Learn Python for Data Science in New York?

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 Course in New York?

After completing this Data Science with Python Certification course in New York, 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 Python Data Science and ML online course in New York?

Freshers, 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

How will I execute the practicals in this online Data Science with Python course in New York?

You will do your assignments and case studies using Jupyter Notebook, which is already installed on your Cloud LAB environment (access it from a browser). The access credentials are available on your LMS. Should you have any queries, the 24*7 Support Team will promptly assist you.

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Testimonial Reviews

Pramod KunjuData Warehouse Guru, Greater Los Angeles Area

I found the big data course from Edureka to be comprehensive, and practical. Course instructor was v ... Read More

Madhusudan Rao SSenior software consultant at PCS Technical Services, Bengaluru Area, India

I had attended a couple of demo session with other training institutes before joining Edureka. I can ... Read More

Shilpa ChutakeFinancial Analyst, JPMorgan Chase & Co.

I was taking a course for Data Visualization with Tableau , and had wonderful experience with edurek ... Read More

Abhishek MishraExperience in Hadoop and Big Data Analytic, Java developer.

Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are r ... 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

Tejinder SinghPGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab

There is a plethora of online training material available for Android; the reason I chose Edureka is ... Read More

Video Reviews

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

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.

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Python Data Science Training in NYC FAQs

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 in New York?

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 Python for Data Science in New York?

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 Data Science with Python course for data science that will take you from beginner to data analyst in Python or data scientist.

Can I learn a Python for Data Science online in New York?

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 in New York?

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.

What is the Data Science with Python Course in New York duration?

Data Science with Python Course in New York 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 in New York?

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 miss a Data Science with Python Course class in New York?

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 in New York?

After completing a Data Science with Python course in New York, there are various job opportunities available. Data Science is a rapidly growing field, and many industries rely on data analysis and insights for decision-making. Some job opportunities that you can explore after completing a Data Science with Python course in New York include:

Data Scientist
Data Analyst
Machine Learning Engineer
Business Analyst
Data Engineer
Data Visualization Specialist
Predictive Analyst
Quantitative Analyst
Research Analyst
Data Science Consultant

These roles can be found in industries such as technology, finance, healthcare, e-commerce, consulting, and more. It's advisable to search for job openings on online job portals, company websites, and professional networking platforms specific to New York to find the most relevant opportunities in the area.

What are the companies hiring Data Scientists in New York?

There are several companies in New York that hire Data Scientists. New York is a major hub for technology, finance, and various other industries, making it a fertile ground for Data Science talent. Some prominent companies known for their presence in the area and for hiring Data Scientists include:

IBM
Google
Microsoft
JPMorgan Chase
Goldman Sachs
Amazon
Bloomberg
Facebook
American Express
Morgan Stanley

These are just a few examples, and there are many other companies in New York across various industries that employ Data Scientists.

What is the salary for a Data Scientist in New York?

The average salary for a Data Scientist in New York can vary based on factors such as experience, education, industry, and the specific company. However, on average, a Data Scientist in New York can earn around $110,000 to $170,000 per year.

What is the cost of a Data Science with Python Course in New York?

The cost of a Data Science with Python course in New York is $539.

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Data Science with Python Training in NYC

Why should you take Data Science with Python Training Course in NYC??

Instructor-led Data Science with Python Certification Course live online classes

Financing Options

Data Science with Python Course in NYC Curriculum

Module 1: Introduction to Python for Data Science

Module 2: Working with Python Programming

Module 3: Advanced Python Programming for Data Science

Module 4: Data Analysis with NumPy and Pandas

Module 5: Data Visualization and Preprocessing Techniques

Module 6: Statistical Methods for Data Science

Module 7: Fundamentals of Machine Learning

Module 8: Supervised Learning – Regression Analysis

Module 9: Supervised Learning – Classification Fundamentals

Module 10: Supervised Learning – Advanced Classification

Module 11: Unsupervised Learning and Clustering Techniques

Module 12: AutoML and No-Code Data Science Solutions

Module 13: Reinforcement Learning Essentials (Self-paced)

Module 14: Time Series Analysis and Forecasting Methods (Self-paced)

Module 15: Machine Learning on Cloud Platforms (Self-paced)

Module 16: MLOps Fundamentals (Self-paced)

Data Science Python Training in NYC Description

About Data Science with Python Certification Course in New York

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

Why Learn Python for Data Science in New York?

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

Who should go for this Python Data Science and ML online course in New York?

How will I execute the practicals in this online Data Science with Python course in New York?

Testimonial Reviews

Video Reviews

Python Data Science Training in NYC FAQs

What is Data Science with Python?

Why should I learn Data Science with Python Course in New York?

Where Can I Learn Python for Data Science in New York?

Can I learn a Python for Data Science online in New York?

Who are the instructors for the Python Data Science Course in New York?

What is the Data Science with Python Course in New York duration?

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

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

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

What are the companies hiring Data Scientists in New York?

What is the salary for a Data Scientist in New York?

What is the cost of a Data Science with Python Course in New York?

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