What's Inside?

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

This course is designed to help you learn machine 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 12-hours in this Python Data Science Bootcamp.

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. 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, don't worry about any concept that most instructors forget.

I believe, in this age of data science and big data, python is the most demanded language among reputable companies. They use python to expose the information that is residing throughout the world.

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

My Promise to you!

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

What will you learn in this course?

Our 12 sections in this course address every aspect of data science in a python programming language. This course will cover the following:

• Introduction to data science
• Introduction to python driven data science frameworks such as Anaconda.
• Interaction with python Jupyter notebooks
• Presentation of basic analytical tools- Numpy Arrays, Matrices, Vectors, Equation-solving, other Operations, Arithmetics, Broadcasting, and so on.
• Implementation of data science techniques
• The data structure of python
• Reading and analyzing data in Pandas such as JSON, HTML, CSV, Excel, files.
• Preprocessing and wrangling of data through various python techniques such as handling conditional data, NAS/No data or grouping attributes.
• Analyzing data through visualization techniques such as histograms, pie/line charts, scatterplots, barplots, boxplots, etc.
• Analysis, interference, and variables relationship through statistical data
• Supervised and unsupervised machine learning
• Artificial neural networks, deep learning discovery, and much more.

Why will this course offer you?

To acquire the key to the data science world through python.

The best part?

There is no pre-requisite to this course - neither machine learning nor statistics.

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

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 analyze.

At the end of this course, you will be able to use python packages such as NumPy, matplotlib, and pandas in different scenarios. 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 machine-related topics, too. For example, I have added lectures that cover deep learning along with neural networks incorporating multiple algorithms.

With this Powerful All-In-One Python Data Science course, you’ll know it all: visualization, stats, machine learning, data mining, and deep learning!

The underlying motivation for the course is to ensure you can apply Python based data science on real data and put into practice today. Start analyzing data for your own projects, whatever your skill level and IMPRESS your potential employers with actual examples of your data science abilities.

HERE IS WHAT THIS COURSE WILL DO FOR YOU:

This course is your one shot way of acquiring the knowledge of statistical data analysis skills that I acquired from the rigorous training received at two of the best universities in the world, perusal of numerous books and publishing statistically rich papers in renowned international journal like PLOS One.

This course will:

(a) Take students without a prior Python and/or statistics background background from a basic level to performing some of the most common advanced data science techniques using the powerful Python based Jupyter notebooks.

(b) Equip students to use Python for performing different statistical data analysis and visualization tasks for data modelling.

(c) Introduce some of the most important statistical and machine learning concepts to students in a practical manner such that students can apply these concepts for practical data analysis and interpretation.

(d) Students will get a strong background in some of the most important data science techniques.

(e) Students will be able to decide which data science techniques are best suited to answer their research questions and applicable to their data and interpret the results.

It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, majority of the course will focus on implementing different techniques on real data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects.

JOIN THE COURSE 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.

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