Data Science and Machine Learning using Python

Learn Python, NumPy, Pandas, TensorFlow, Keras, Artificial Neural Network, Convolutional & Recurrent Neural Networks, Autoencoders, Reinforcement Learning, Regressions, Vector Machines, Heuristic Approaches from Industry Experts

Course Dates: May 31 – Jun 13, 2021 (3 hrs. /day, Monday to Friday)

Duration: 30+ Hours

Mode: Online (Instructor-Led)

Registration Ends: May 30, 2021

Certification: Globally Accepted

Timing: 05 PM Onwards

Category: FDP

Support: 24*7

Course Fee: 5500/-

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Course Overview & Objectives

In recent years, Data Science and Machine learning has emerged as powerful techniques for solving problems involving huge loads of data. Machine Learning algorithms help towards taking a better decision. This course is designed to give you in-depth knowledge of Machine Learning concepts including the essentials of statistics required for Data Science and Python programming. We will walk you step-by-step into the world of Machine Learning. With every lecture, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Artificial Intelligence.

Course Highlights and Focus Areas

Prerequisites and Eligibility:

Helpline: +91-7409146082
training@diginique.com

Prerequisites and Eligibility!

Registration Process!

Step 1.

Book your seat by paying registration fee

Step 2.

You will receive a confirmation email within 24 hrs.

Step 3.

Pay your first instalment after receiving confirmation email.

Step 4.

Join the internship program.

Step 5.

Pay the second installment

Projoects Covered

Real Estate Price Prediction

Face Recognition System

Credit Card Fraud Detection

AI Based Attendance System

Fake News Detection Model

COVID-19 Analysis & Forecasting

Course Features and Benefits

Certification

Sample Certificates

Career Prospects

The average salary of Data Science professionals across all skill sets and experience levels was ₹ 12.7L in 2017, an 8% increase since 2016, on a much larger base of professionals. The salary for Machine Learning Jobs for Freshers may start at ₹ 8L and may go up to ₹10-15 L.

Tech giants like Amazon, Facebook, Google, Apple, Uber, HCL, ZS, TCS, Cognizant, Oracle, Samsung etc. are sprawling like wildfire, and as a consequence, these companies are investing in Machine Learning and hiring machine learning experts to support it.

Future of Machine Learning looks promising. It is said that AI and ML are expected to impact and transform our lives in ways beyond imagination similar to the internet. AI/ML will change the way we shop, communicate, travel, perform our routine tasks and do our business.

Testimonials!

Our Alumni Work at!

Frequently Asked Questions (FAQs)

What if I have entered my email/phone number wrong while registering?

No need to worry. Just drop us an email on info@diginique.com and the same will be corrected within 24 hrs.

What if I miss one or more than one class?

We provide complete recordings of each class on a daily basis. Also, you can reach out to the instructor anytime in case of any query.

What if I am not satisfied with the instructor or the way of teaching?

 If you have any issue related to the course and delivery, kindly write to us on <info@diginique.com>. Our team will reach out to you within 24 hrs.

What if I cancel my enrollment? Will I get refund?

 Yes, you can cancel the enrollment within first two days of the course if necessary and you’ll get the refund after deducting standard charges (25% of the total fee).

How will my doubts get resolved?

We have one dedicated teaching assistant (TA) for your course to take your doubts 24*7. Also, you’ll have one WhatsApp group with the instructor for all the discussions related to the course.

Will there be quizzes and assignments in between the course?

 Yes, there will be decent number of assignments and quizzes in between the course for a smooth learning.

How can I access the course?

 Login to your dashboard on www.diginique.com . Joining link will be active on the dashboard 24 hrs before starting the course.

My payment did not go through successfully. What should I do now?

We apologize for this inconvenience. We encourage you to write to us on <info@diginique.com> for further guidance. Our team will assist you within 24 hrs.

Do I need to install or buy any software for this course?

 We will provide you all the required software during the session and help you in installing the same. You don’t need to do anything before joining the program.

I have completed my course. Now what?

You’ll be provided with the certificate of completion within 24 hrs of course completion. To get the certificate, you must have attended all the quizzes and submitted all the assignments.

Will Diginique TechLabs assist in placements?

We have a dedicated department dedicated to the placement of students and are successful in arranging career guidance throughout the year. Diginique has been successful in maintaining high placement statistics over the years and the fact registered students bear the recession blues with record-breaking placements itself is a testimony to superior quality.

Who will be the instructor(s) for the course?

The instructors at Diginique TechLabs are from top academic institutions, industries and research institutions. They have yearlong experience in the industry and at the same time had the best education in their field.  Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

I am from Non-tech/ Non-CSE background. Can I still join this program?

Yes. The course and curriculum of this program are more inclined towards engineering streams; however, anybody can join this FDP even from a different department.

Whom should I contact if I have additional questions?

You can contact us at info@diginique.com or at +91-7409146082.

Program Syllabus

 

Batch

Training Duration - 2 Weeks

Project Duration – 30 Days (Self-Paced)



Start Date

End Date

Start Date

Submission Date

A

May 03, 2021

May 16, 2021

May 17, 2021

Jun 16, 2021

B

May 10, 2021

May 23, 2021

May 24, 2021

Jun 23, 2021

C

May 17, 2020

May 30, 2021

May 31, 2021

Jun 30, 2021

D

May 24, 2021

Jun 06, 2021

Jun 07, 2021

Jul 06, 2021

E

May 31, 2021

Jun 13, 2021

Jun 14, 2021

Jul 13, 2021

F

Jun 07, 2021

Jun 20, 2021

Jun 21, 2021

Jul 20, 2021

G

Jun 14, 2021

Jun 27, 2021

Jun 28, 2021

Jul 27, 2021

H

Jun 21, 2021

Jul 04, 2021

Jul 05, 2021

Aug 04, 2021

I

Jun 28, 2021

Jul 11, 2021

Jul 12, 2021

Aug 11, 2021

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