Data Science with Python Training (20 Courses, 8+ Projects)
20 Online Courses
8 Hands-on Projects
77+ Hours
Verifiable Certificate of Completion
Lifetime Access
BESTSELLER
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1
Machine Learning with SciKit-Learn in Python
2
Projects on ML - Predictive Modeling with Python
3
Matplotlib for Python Developers (3 Courses)
4
Pandas with Python Tutorial
5
NumPy and Pandas
Offer ends in:
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What you get
 Online Data Science with Python Course
This Data Science with Python Course Training includes  20  comprehensive Data Science courses , 8 Projects with 77+ hours of video tutorials and Lifetime Access. It is an amazing collection of practical and hands-on learning of the most updated training programs and projects in the area of Data Science using Python programming language. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the 20 courses , 8 Projects .
Lets now discuss the details about the Data Science with Python Course in detail.
Industry Growth Trend
[Source - MarketsandMarkets]
Average Salary
Average Salary
$120,301
per year
The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]
[Source - Indeed]
About Data Science with Python Course
| Courses | No. of Hours | |
|---|---|---|
| Machine Learning with SciKit-Learn in Python | 8h 46m | |
| Projects on ML - Predictive Modeling with Python | 9h 52m | |
| Matplotlib for Python Developers - Beginners | 4h 34m | |
| Matplotlib for Python Developers - Intermediate | 2h 6m | |
| Matplotlib for Python Developers - Advanced | 6h 52m | |
| Pandas with Python Tutorial | 6h 31m | |
| NumPy and Pandas | 5h 07m | |
| Project on Pandas - Data Management for Retail Dataset | 4h 18m | |
| Project on Python - Sentiment Analysis | 1h 16m | |
| Data Science with Python | 4h 22m | |
| Artificial Intelligence with Python | 6h 36m | |
| OpenCV for Beginners | 2h 28m | |
| Video Analytics Using Opencv and Python Shells | 2h 21m | |
| Machine Learning using Python | 3h 32m | |
| Statistics for Data Science using Python | 3h 56m | |
| Project on Tensorflow - Implementing Linear Model with Python | 1h 49m | |
| Project - Data Analytics with Data Exploration Case Study | 5h 19m | |
| Project on ML - Random Forest Algorithm | 1h 32m | |
| Seaborn - Beginners | 2h 34m | |
| Seaborn - Intermediate | 1h 22m | |
| Seaborn - Advanced | 1h 6m | |
| PySpark - Beginners | 2h 33m | |
| PySpark - Intermediate | 2h 16m | |
| PySpark - Advanced | 1h 21m | |
| Machine Learning with Python Project - Predict Diabetes on Diagnostic Measures | 1h 07m | |
| Project - Linear Regression in Python | 2h 15m | |
| Python for Finance | 2h 12m | |
| Project on Python Data Science - Predicting the Survival of Passenger in Titanic | 2h 13m |
| Course Name | Online Data Science with Python Course Bundle |
| Deal | You get access to all 20 courses , 8 Projects bundle. You do not need to purchase each course separately. |
| Hours | 77+ Video Hours |
| Core Coverage | Data Science with Python, Artificial Intelligence with Python, Video Analytics Using OpenCV and Python Shells, Pandas with Python Tutorial, Machine Learning using Python, Statistics for Data Science using Python |
| Course Validity | Lifetime Access |
| Eligibility | Anyone who is serious about learning Data science using Python and want to make a career in Data and analytics |
| Pre-Requisites | Basic knowledge of Data Science and Python programming |
| What do you get? | Certificate of Completion for each of the 20 courses , 8 Projects |
| Certification Type | Course Completion Certificates |
| Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your Resume/Linkedin profile to showcase your enhanced skills |
| Type of Training | Video Course – Self Paced Learning |
| Software Required | Open Source Python |
| System Requirement | PC or laptop with processor i3+ and RAM recommendation should be at least 4GB with smooth internet connectivity |
| Other Requirement | Speaker / Headphone |
Online Data Science with Python Course Curriculum
In this section, each module of the Data Science with Python Course is explained briefly:
Data Science with Python
Artificial intelligence is the intelligence demonstrated by machines, in contrast to the intelligence displayed by humans. Artificial intelligence is changing how entire industries operate""retail, education, healthcare, and almost every other field out there. This data science with python course is a comprehensive understanding of AI concepts and its application using Python and iPython.
Artificial Intelligence with Python
Machine learning is the kind of programming which gives computers the capability to automatically learn from data without being explicitly programmed. Machine Learning algorithms are an evolution of normal algorithms. They make your programs smarter, by allowing them to automatically learn from the data you provide. Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great time to start. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python.
Video Analytics Using Opencv and Python Shells
The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning. You will learn the foundations of probability and statistics. You will learn both the mathematical theory. This training is an introduction to the concept of statistical concepts that are very important to Data science domain and its application using Python.
Pandas with Python Tutorial
OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces. Computer vision applications and technology are blowing up right now! With several apps and industries making amazing use of the technology. Through this training, we shall understand and learn how to perform video analysis with OpenCV
Machine Learning using Python
Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. Pandas is a popular Python package for data science. This Data Science with Python course will get you up and running with using Python for data analysis and visualization.
Statistics for Data Science using Python
Data Visualization is a big part of a data scientist’s jobs. The main goal of this Data Science with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people.
Certificate of Completion
Pre-requisites
- Basic Knowledge of Computer Programming terminologies:Â Any candidate looking for this course should be familiar with any of the programming languages. It will add weight if you know the basics of statistics. We design our course starting with the basics. We will make sure to deliver you with all the fundamental knowledge.
- System Configuration:Â We recommend to use any PC or laptop with processor i3+ and RAM recommendation should be at least 4GB with smooth internet connectivity.
- Passion to Learn:Â You need to start your course with high motivation and passion to learn. Be honest to yourself.
Target Audience for this Data Science with Python Course
- Professional looking for Analytics:Â Every sector of industry are moving towards analytics. They are working with a high volume of data for their business growth. They are attracting towards new tools and technologies.
- Job career:Â People who are keen to learn and work in domains like Machine Learning, Artificial Intelligence, Business Intelligence, Data Analyst.
- Any Individuals: Data Engineers, Software Developer, Analyst, IT operations, Architects, Technical Managers, Professional interested in Data Science and Visualisations.
Data Science with Python Course FAQ’s- General Questions
What are the system requirements?
We highly recommend to use a system as per below  minimum specifications:
- Processor: i3 +
- RAM: 4 GB
- Hard Disk – 128 GB
How do I enroll for the Python for Data Science course training?
You can enroll for Python Data Scientist training on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- Credit Card
- Net Banking
- PayPal
Once payment is received you will automatically receive a payment receipt and access information via email and you will also receive a welcome call.
Can I access this data science with Python course from anywhere?
Yes, you can definitely access this course from anywhere & everywhere. You can connect to us through your laptop and tablet with a fair quality of internet speed. After registration, you will get unique user Id and password to access this course.
When will I receive my certificate for Python Data Scientist course?
We will issue a certificate once you are done with 70% of the training materials provided for this bundle course.
Will I get any technical Support during my Training at eduCBA?
Yes, definitely we will provide you with technical support for this course. We will connect you with a highly skilled trainer to get your doubt cleared.
How much this course will help me to get a job?
We have designed our courser as per industry requirements. Our rich content will help you to learn different tools and applications in the industry. We will help you with projects and case studies which will help you to develop your profile.
Do you provide placement assistance after completing this course?
No, this is just a skill upgradation course.
Sample Preview of this Data Science with Python Course
Data Science with Python Course Testimonials
Data science
The Data Science with Python course goes through the different areas of data science with python. Beside a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked
Jorge Giro
Artificial Intelligence
This video training course was created in a very structured way and easy to understand. The fundamental and concept of Artificial Intelligence were well explained with simplicity approach. The demonstration of using Python and iPython provide an overview how the application works internally.
CHONG FONG KONG
Perfect Pandas Primer
I enjoyed this Data Science with Python course. It seemed to be very up-to-date. The instructors were clear, concise, and thorough. The structure was intuitive and presented in an understandable manner, building on each step and using data frames and sets that avoided confusion by using names that didn’t sound like operational commands and vice versa. Grammar and logic were exceptional, with very little wasted time. A great introduction to using Pandas.
Linked
Michael Williams
