Data Science Program

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About Course

This master level course is for you if you are looking to learn the Data Science in and out within a short time!

Description

Why AiMlAnalytics?

  • AiMlAnalytics is well recognized training institute for python, data science, machine learning and deep learning.
  • Our vision is to design and deliver a quality online Industry training in future technologies.
  • Our courses matches the requirements of both freshers as well as working professionals.
  • Our faculties are well experienced and worked as Data Scientists, Machine Learning and Deep Learning Engineers at reputed company’s.

4 Months Training

Once the classes starts, our students will go through 4 months vigorous training on weekends (Saturday & Sunday) at 2hrs/day taught by our team of well experienced Data Scientists, Machine Learning Engineers and Deep learning Engineers. Our instructors are well known for their interaction and innovative teaching.

Timing

Evening (Sat & Sun) : 6:00 PM to 8:00 PM
Wednesday : 2hr Doubt Clearing Session

Learning Platform

Along with daily live lectures we provide a separate learning platform where our students can learn topics, attempt quizzes, assignments and many more. Although our instructors are available for 24/7 to clear doubts, we also provide a community where students can post their doubts and also help each other.

2 Months Internship

Right after completing the Course with all assignments and projects, Guaranteed 2 Months Internship Offer will be provided. And provide hands-on experience in live projects and you can Earn Internship Certificate from AiMlAnalytics.

What Will I Learn?

  • Core Python
  • Python Numpy
  • Python Pandas
  • Data Analysis
  • Statistics
  • Machine Learning
  • Scikit-learn
  • Data Pre-Processing
  • Database Interactions
  • Exploratory Data Analysis

Topics for this course

222 Lessons

Python Core

Introduction of python and comparison with other programming languages
Installation of Anaconda Distribution and other python IDE
Python Objects, Number & Booleans, Strings, Container objects, Mutability of objects
Operators – Arithmetic, Bitwise, comparison and Assignment operators, Operators Precedence and associativity.
Conditions(If else,if-elif-else)
Loops(While ,for)
Break and Continue statements
Range functions

String objects and collections

Tuples, Set, Dictionaries and Functions

OOPS concepts and working with files

Modules, Exception Handling and Database Programming

Python Projects

Visualization

Rest Api

Database

GitHub

Python pandas

Python Numpy

Exploratory Data Analysis

Statistics

Machine Learning 1

Machine Learning 2

Machine Learning 3

Machine Learning 4

Machine Learning Projects

Natural Language Processing

Deep Learning 1

Deep Learning 2

Deep Learning 3

Deep Learning 4

Deep Learning Projects

Placeholder
Free

Material Includes

  • Learning Platform
  • Full lifetime access
  • 8 Projects
  • Student Mentor
  • Internship
  • Certificate of completion

Requirements

  • No programming skills or special tools are necessary to take this course
  • You just need a computer with Internet access and a Web Browser