About This Course
Given the enormous volumes of data being produced today, data science is a crucial component of many sectors and is one of the most hotly contested topics in IT. Since data science has become more and more popular, businesses have begun to use it to expand their operations and improve consumer happiness.
The field of study known as data science works with enormous amounts of data using cutting-edge tools and methods to uncover hidden patterns, glean valuable information, and make business decisions. Data science creates predictive models using sophisticated machine learning algorithms.The information used for analysis can be given in a variety of formats and come from a wide range of sources.
- 40 Videos
- 10+ Assesments
- 1 Interview Preparation Kit
- 10 Quizzes
- Basic Mathematics would be enough as a pre requisite
- It is a self-paced course.
- It is accessible at any moment.
- You are free to audit it as often as you like.
- Multiple attempts are allowed for each question, but there is only one chance to pass the course.
- Students in the eighth standard and up
- Any student pursuing a college or university degree can learn
- Any Professional Interested in Beginning a Career in Programming
Greetings from Team !
Python Numbers, Operators & Variables in Python32:22
Assignment, Comparison, Logical Operators, Len in Python, Input & Ouput25:49
Boolean Operators, String Built-in Functions34:43
Conditional Programming, List & Tuples in Python35:13
Loops Control Statements & Sets46:48
Loops & Strings
Dictionaries, Built-in, Lambda & User Defined Functions in Python39:37
Python Modules – Math, Random, Calendar1:04:08
Python Object & Classes, Error Handling in Python
Build Your Own Calculator
File Handling in Python00:00:00
Web Scraping and Graphical User Interface (GUI) in Python00:00:00
Introduction to Data Science, Data Analytics & BI00:00:00
Symbolic Computation Library using SymPy
Statistics for Data Science
Introduction to NumPy
NumPy Assessment – I ( Basic )
NumPy Assessment – II ( Intermediate )
NumPy Arrays (Continued)00:00:00
Introduction to Pandas00:00:00
Pandas -II (Continued)00:00:00
Pandas : Salaries Excercise
Pandas – E-Commerce Excercise
Data Visualization using Matplotlib00:00:00
Advanced Data Visualization using Seaborn and Plotly00:00:00
Feature Engineering : Data Transformation00:00:00
Introduction to Machine Learning00:00:00
Simple Linear Regression00:00:00
Multiple Linear Regression00:00:00
Data Exploration Project – Minor
K Nearest Neighbors (KNN)
Computer Vision : Image Analysis00:00:00
Dashboard Building using Tableau00:00:00
Dashboard Building using GDS00:00:00
My name is Utkarsh Sharma , student of GLA University currently pursuing B.tech . I learned many things in this course with practical knowledge which help me a lot in learning things in my domain. Everything is covered in time and learned concepts from basic levels which helps in better learning. I suggest that people in data science domain must go through this course if they want to build knwoledge from basics in it.
Hi, my name is Rishabh. I attended the data science with python certification training from theax. It was a helpful course from my point of view. I was keen on learning concepts related to python and data science, and this course covers everything. The educator covered the entire python course from basics and explained everything in detail. He gave good practical knowledge. Theax's support system is also quick. They resolve our query within a day. I will highly recommend this course who wants to learn data science with python from basics to intermediate