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Data Science with Python Training in Dallas

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 Training in Dallas 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 Dallas, 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 Dallas 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 Dallas??

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

Aug 23 ^rd

Sat & Sun (6 Weeks) Weekend Batch

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

Sep 12 ^th

Fri & Sat (6.5 Weeks) Weekend Batch

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

Oct 11 ^th

Sat & Sun (6.5 Weeks) Weekend Batch

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

Course Price at

499

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Data Science with Python Course in Dallas Curriculum

Edureka’s Data Science with Python Training in Dallas 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 Dallas, 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 Dallas Description

Edureka provides extensive Data Science with Python training in Dallas 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 Dallas.

About Data Science with Python Certification Course in Dallas

Edureka’s Data Science with Python Certification Training in Dallas 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 Dallas?

The prerequisites for Edureka's Python Data Science and ML course training include the fundamental understanding of Computer Programming Languages.

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

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 Python Data Science and ML online course in Dallas?

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

Why Learn Data Science with Python in Dallas?

Python has been one of the premier, flexible, and powerful open-source languages that are easy to learn, easy to use, and powerful libraries for data manipulation and analysis. It has been used for over a decade in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It continues to be a favorite option for data scientists who build and use 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 into the most preferred Language for Data Analytics. The increasing search trends also indicate that it is the Next Big Thing and a must for professionals in the data analytics domain.

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

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

Abhimanyu RanaSoftware Developer Intern at Copart

A total Hands Down!!! Teaching 5/5, Tech Support 5/5, Quality of education 5/5. This is by far 1 sto ... Read More

Muralidhar GaddamDevOps Professional, Project/Program Management Corporate Trainer

I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecti ... Read More

Sarvani KareSr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really lear ... Read More

Puneet Jhajj

I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the tr ... Read More

Anitha GuruswamiQA Consultant

This company has been heaven sent to anyone interested in learning the newer technologies that are c ... Read More

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

Video Reviews

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

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

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

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Structure your learning and get a certificate to prove it.

Python Data Science Training in Dallas FAQs

What is Python for Data Science in Dallas?

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 Dallas?

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 Dallas?

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 Dallas?

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 Data Science with Python Course in Dallas?

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 Dallas duration?

Data Science with Python Course 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 Dallas?

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 skills should a Data Science Expert know?

A Data Science Expert should have a combination of technical and non-technical skills, including:

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.

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

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.

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

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.

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

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

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

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

What are the companies hiring Data Scientists in Dallas?

There are several companies in Dallas that hire Data Scientists. Some prominent companies known for their presence in the area and for hiring Data Scientists include:

AT&T
Capital One
Southwest Airlines
American Airlines
Texas Instruments
JPMorgan Chase
Verizon
Cognizant
Toyota
Amazon

These are just a few examples, and there are many other companies in Dallas across various industries such as telecommunications, finance, aviation, technology, and more that employ Data Scientists.

What is the salary for a Data Scientist in Dallas?

The average salary for a Data Scientist in Dallas can vary based on factors such as experience, education, industry, and the specific company. However, on average, a Data Scientist in Dallas can earn around $95,000 to $150,000 per year.

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Data Science with Python Training in Dallas

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

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

Financing Options

Data Science with Python Course in Dallas 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 Dallas Description

About Data Science with Python Certification Course in Dallas

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

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

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

Why Learn Data Science with Python in Dallas?

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

Testimonial Reviews

Video Reviews

Python Data Science Training in Dallas FAQs

What is Python for Data Science in Dallas?

Why should I learn Data Science with Python Course in Dallas?

Where Can I Learn Python for Data Science in Dallas?

Can I learn a Python for Data Science online in Dallas?

Who are the instructors for the Data Science with Python Course in Dallas?

What is the Data Science with Python Course in Dallas duration?

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

What skills should a Data Science Expert know?

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

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

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

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

What are the companies hiring Data Scientists in Dallas?

What is the salary for a Data Scientist in Dallas?

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