What's Inside?

Get hands-on complete data analysis course incorporated with TensorFlow only in Python.

This course is designed to help you learn machine learning and deep learning with statistical modeling and visualization of data. Also, it covers the basic techniques of deep learning. All you need to do is invest your 7-hours in this Python Tensorflow Data Science Boot Camp.

Why should you enroll in this course? 

There are various reasons you might need this course for. First, this statical data analysis course is designed to provide you (learners) complete practical guide on data science and its techniques in python using the Tensorflow framework.

Moreover, with this course, you never need to purchase other books to make your concepts strong. Since this course is wholesome to understand data science with TensorFlow, do not worry about any concept that most instructors forget.

TensorFlow

Wondering what is TensorFlow. TensorFlow is an open-source library that is used in machine learning, Deep learning, and artificial intelligence. Programmers can use it for various problems in the real world. For example, an expert can train a data set and make inferences of deep neural networks on practical data. Precisely, Tensorflow is a symbolic library developed on mathematical concepts to analyze dataflow and differentiate it from core programming.

I believe, in this age of data science, neural networks, and big data, TensorFlow python is the most demanded platform among reputable companies. They use TensorFlow frameworks to expose the information that is residing throughout the world and revolutionize the neural network industry.

Through my avalanche of data, you can provide your company with a remarkable competitive edge. Also, you can boost your career to the next level once you learned how to store, filter, manage and manipulate data in Python's anaconda and Tensorflow.

My Promise to you!

You can become a pro in the practical world of TensorFlow, which resides under data science and neural networks, once you fulfill the course requirements.

Unlike other courses, this course will help you dig out every feature of statistical modeling and give you the grounding experience of TensorFlow that you can apply in the practical world.

What will you learn in this course?

Our seven sections in this course address every aspect of data science, neural networks, and machine learning in python-based TensorFlow frameworks. This course will cover the following:

• A complete introduction to python-based anaconda and TensorFlow-driven data science, machine learning, and neural networks.
•  Interaction with python Jupyter notebooks to implement AI-based techniques of machine learning, data science, and neural networks
• Presentation of Tensorflow installment.
• Interaction with basic packages and frameworks of data science used in python and TensorFlow
• Introduction to Pandas and Numpy libraries
• Understanding of basic syntax and visualization in TensorFlow environment
• Statistical modeling in Tensorflow frameworks
• Machine learning in both Supervised and Unsupervised Learning under Tensorflow frameworks
• Understanding structures of artificial neural networks and deep learning structures

But wait! My course is not just an average course!

In this course, you will absorb the most powerful hacks that work behind Python Tensorflow techniques associated with machine learning, deep learning, and neural networks.

I will help you to get started with valuable concepts and techniques in TensorFlow data science. As mentioned earlier, I have used the most simple, easy-to-understand, and straightforward methods to address every concept of TensorFlow frameworks along with python libraries.

This course will be the proven ultimate guide for you that will help you to implement the data science and machine learning techniques in the real world. No matter, what type of data you want to interpret.

At the end of this course, you will be able to use TensorFlow frameworks such as NumPy, matplotlib, and pandas in different scenarios and gain fluency in Tensorflow. What is more?

Deep conceptualization of python's statistical modeling is not going anywhere if you invest your time in learning.

Even, I assure you that my course will cover other deep learning models, too. For example, I have added lectures that cover Convolution Neural network (CNN), Long Short Term Memory Networks (LSTMs), Generative Adversarial Networks (GANs), Multilayer Perceptrons (MLPs) and more.

All-In-One Data Science Course in Python

As I said earlier, this course is wholesome. In TensorFlow, you will learn all aspects of data science such as visualization, stats, machine learning, deep learning, neural networks, and mining of data.

The motivation behind this course is the practice, which students are lacking these days on the real-time interpretations. My vision is to provide students with real-world data and let them interpret it. Students will be able to analyze their own projects in order to impress reputable employers with their skill sets under neural networks.

Finally, this course is practical. In this course, you will be spending time dealing with theoretical as well as practical concepts. Around 30%, of course, is based on theoretical concepts, and 70%, of course, is based on practice where students will implement data science and deep learning techniques to interpret and analyze probable outcomes. In every lecture, our video will help you to learn the technical concepts of your own projects.

What are you still waiting for? Enroll now!

Frequently Asked Questions (FAQs)

How do I access the course?

All you need is a modern browser such as Chrome, Firefox, or Internet Explorer and you will be able to access the course from any computer, tablet, or mobile device.

Is there a specific time duration to complete this course?

Learning with Eskills Academy is super easy. No limitation on-time duration so you learn easily at your own pace and convenience.

Do I get a certificate?

Yes, when you complete the course you will receive a certificate of completion, which you can happily add to your resume or LinkedIn profile.

In what cases will I be eligible for a refund?

All Eskills Academy courses come with Teachable backed 30-day money-back guarantee. If you are not satisfied with the purchased course, refunds are applicable as per our terms mentioned on the website.

Other FAQ’s

What prior knowledge do I need to attend the teacher-led class?

At least six months of professional PC configuration and troubleshooting experience.

How can I access my course materials if I choose this method?

Upon receipt of payment, Eskills will send you an email with all the links and information you need to get started.

What content on-demand will I get?

You will have access to official CompTIA On-Demand content that is constantly updated so you can prepare for your A + exam and stay informed of any content changes during your subscription period.

What laboratories do I have access to?

Gains access to [enter number] preconfigured A + curriculum labs.

How many practice tests are included?

 4A + accredited practice exams are included.

How do I plan my teacher-led training?

As soon as payment has been received, you will receive the details of your training package with unlimited access by email. At this point, you can call or email our customer service team to help you register for the event date you have chosen.