Data Science

Become a Data Science Expert and take a deep dive into the world on ML and Deep Learning

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1:1 Live Doubt Solving

Personal Mentorship


20 hours


✔11section ✔ 68lectures ✔ 19h 52m total length

  • Course Introduction

  • DataScience
  • Understanding Buzzwords

  • DA-Excel
  • DA Excel 2
  • DA Excel 3

  • Introduction to Python
  • Control Structures and Functions - Part 1
  • Data Structures - Tuples
  • Data Structures - Lists
  • Data Structures - Sets
  • Data Structures - Dictionary
  • Class and Objects

  • Basics of probability
  • Conditional and Bayes
  • Random Variable and Discrete Probab
  • Continuous Random Variables
  • Central Limit Theorem

  • Statistics in Data Science
  • Measures of Central Tendency
  • Measures of Dispersion
  • Hypothesis Testing
  • Types of errors
  • Regression Analysis
  • Underfitting Overfitting
  • Types of Regression Analysis
  • Correlation Regression

  • NumPy Part 1
  • NumPy Part 2
  • NumPy Part 3
  • NumPy Part 4
  • Pandas Part 1
  • Pandas Part 2
  • Matplotlib Part 1
  • Matplotlib Part 2
  • Matplotlib Part 4
  • Matplotlib Part 5

  • EDA

  • Matrix Vectors
  • Numpy, LinearAlgebra Matrix for analysis
  • What is a Tensor

  • Introduction to Deep Learning
  • Getting started with ML
  • How does ML work
  • Data Cleaning
  • Data Processing
  • Preprocessing in Python - Feature Scaling
  • Preprocessing in Python - Label Encoding
  • ML Classifications
  • ML - Regression
  • ML Algorithms
  • Classification Model

  • Introduction to Neural networks
  • How do neural networks work?
  • Neural Network from Scratch

  • Case Study - Part 1
  • Case Study - Part 2
  • Case Study - Part 3

  • Rainfall Prediction Part 1
  • Rainfall Prediction Part 2

  • Case Study - Tumor Detection Part 1
  • Case Study - Tumor Detection Part 2

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Course Overview

The course provides the entire toolbox you need to become a data scientist

Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow

Unfold the power of deep neural networks

Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)

Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data

Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn

About this Course

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The Problem
Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.     However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.    And how can you do that?   Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)   Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture   The Solution   Data science is a multidisciplinary field. It encompasses a wide range of topics.   

  • Understanding of the data science field and the type of analysis carried out  

  • Mathematics  

  • Statistics   

  • Python   

  • Applying advanced statistical techniques in Python   

  • Data Visualization  

  • Machine Learning  

  • Deep Learning  

Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is.   So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2021.   We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place.   Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save).   

Have Some Query ?

Tutedude provides you the professional curated content by Indian instructors along with live doubt solving and personal one to one mentorship which you won't find anywhere else.

You will have lifetime access to the courses and can watch the lectures anytime you want. So it is totally flexible and provides you the comfort of learning anytime anywhere. Also as the technologies progress we keep on updating our courses so you get the access to them too.

Your doubts will be solved on a live chat, as soon as you get a doubt just ping your mentor through the chat option and within 5-10 minutes you will be connected to him to solve your doubts.

Tutedude doesn't beleive in the idea of teaching 100 students in 1 class where the student sometimes feels hesitant to ask some doubts and where the other student feels that this student is wasting his time by asking silly doubts. Moreover in this busy world it becomes difficult to attend the classes on a specific schedule. So we combined the benefits and provide you interactive video lectures and live one on one doubt solving to learn at your own pace and comfort.


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