30 Hours(For Regular Course)

4-8 Hours(For Capsule Course)

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Applied Data Science with Python (Course code: ALS04211116)

Applied Data-Science Online training with Python incorporates multi-disciplinary domains comprising of computer-science, programming, information theory, statistics and artificial intelligence, to name a few. It focuses more on the application of statistical approaches, machine learning, information visualization, social network analysis and text analysis in order to gain insight into applied data ananlysis. Talking about Python programming, the aforementioned feats can be achieved by using various Python toolkits such Pandas, Matplotlib, Scit-learn, Ntlk and Networkx among many others. Online Data-science training involves the acquisition of full-stack Data-science skills to complete the entire problem structure using various Data-science tools.

The Python online training begins with an overview and basic know-how about how to apply Data-science. Along with Data-science, an introduction to Python is also made. Closely following the overview, a Python tutorial about the various tools that may be used in data-manipulation and analytics are introduced and described. As we dwell deeper, various Data-science concepts will be taken into account with reference to the introduced Python tools.

Section 1: Python Basics

Learn the basic methodologies and environment of Python online with different data types and variables while focusing on data-science as the end-result.

Section 2: Python Lists

Understand the use of different data types under a single name using Python lists. Learn to create, subset and manipulate lists in various ways.

Section 3: Functions and Packages

Learn the intricacies using packages and calling functions in order to make the best use of Python Libraries.

Section 4: Numpy

Learn to code with superfast speed using numerical Python. Get efficient in storing and performing calculations on huge amounts of data.

Section 5: Matplotlib

Make us of different types of visualization depending on the type of end result. Build complex and custom plots using real data in order to portray your results.

Section 6: Control flow and Pandas

Understand the use of conditional constructs iin order to tweak the execution of scripts to understand the Pandas DataFrame, the fundamental element of data science in Python.

Applied data science with python incorporates two of the trending fields of the contemporary technological domain. Python being one of the most powerful languages and very simple to learn is now being used in almost every major IT firm for their programming needs. Data science in itself is such a vast domain that it cannot be avoided or overlooked by any organization that deals with data exchange in any form. Using python in order to implement data science technologies create tremendous opportunities and possibilities. An individual only has to understand the fundamentals of data science and procedures of using the various tools of Python which help in implementing data science.

Needless to say that this particular technology is and will be on the rise in the coming future. The era of data exchange and manipulation is burgeoning and on the rise. The possibilities and opportunity of rising in Industry 4.0 is highly dependent on an individual's ability to work with data and its manipulation.

1. Are lab-sessions available after theory sessions?

We provide online lab facilities to all our students, wherever possible & applicable, using a combination of one or more options, including global ASP setups, live-environments, real-time simulations, training-videos, PPTs, Screenshots and others.

2. Who and how qualified are the instructors?

All our instructors go through a rigorous and multiple processes of filtering and selection before they are appointed by us. Only the most qualified, most experienced and best suited candidates are chosen as instructors.

3.What are the machine requirements for the course?

You must have a fairly good desktop PC or laptop. You can even access these courses on your tabs or smart phones. For PCs and laptops the configuration should be at-least an Intel Pentium processor, 4GB of RAM and 50 to 100 GB of free hard disk space. You must also have a good and steady WiFi internet connection which works at 3G or 4G speeds.

4.How will I undergo practical training in the course?

Depending on the type of lab facilities available for the course you have enrolled in for our instructor would be happy to help you in your lab sessions.

5.What is the process to get my questions/queries answered?

Get in touch with your trainer. You can also consult your batch-mates. We believe in collaborative and practical learning.

6.Can a free demo session be provided?

We do not provide free demo sessions.

7.Will there be a provision for repetition if I miss a class?

We encourage our trainees to attend all sessions. If you have missed a session we will try out best to update you on it, if possible. Else you will need to pay a small fee to have a repeat session arranged specifically for you.

8.Does your organization provide assistance in job hunting?

We are connected across the industry in India and abroad. We will pass on any job openings from our customer to our trainees. But we are not a manpower placement provider.

9.How and where can I make the payment?

You can pay using any credit or debit card in India or abroad. You can also pay using your PayPal account.

10. Will practice material or tests be also provided with the course?

Yes. As required & as applicable.

11.What is the minimum or maximum batch size?

Minimum/maximum batch sizes vary from course to course, depending upon a number of factors. It can vary from as few as 2 to as many as a few hundred, in some cases. But that number does not impact the quality of training that we deliver due to our tight quality-control mechanisms.

All trainees will be provided with a course participation and completion certificate by Aurelius Corporate Solutions. Please note, we are an independent provider of learning solutions. We are not affiliated in any manner to any company or organization.

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