Re: Re: Data Science Course Syllabus For Beginners

From arush, 5 Months ago, written in Plain Text, viewed 86 times. This paste will croak in 1 Second. This paste is a reply to Re: Data Science Course Syllabus For Beginners from arush - go back
URL https://paste.intergen.online/view/734a6ca2/diff Embed
Viewing differences between Re: Data Science Course Syllabus For Beginners and Re: Re: Data Science Course Syllabus For Beginners
For beginners in data science, it's essential to start with the fundamentals and gradually build up to more advanced topics. Here's a suggested syllabus for a beginner-level data science course:

Week 1-2: Introduction to Data Science
Overview of Data Science and its applications
Introduction to Python programming language
Basics of data types, variables, and operators in Python
Introduction to Jupyter Notebooks for data analysis and coding exercises
Week 3-4: Data Manipulation and Analysis with Python
Introduction to libraries such as NumPy and Pandas for data manipulation
Data cleaning techniques: handling missing data, removing duplicates, etc.
Data visualization using Matplotlib and Seaborn libraries
Week 5-6: Introduction to Statistics for Data Science
Basic concepts of statistics: mean, median, mode, standard deviation, etc.
Probability theory and distributions (e.g., normal, binomial)
Statistical inference: hypothesis testing, confidence intervals
Week 7-8: Introduction to Machine Learning
Overview of machine learning concepts and types of machine learning algorithms
Supervised learning: regression and classification
Model evaluation techniques: cross-validation, confusion matrix, metrics like accuracy, precision, recall
Week 9-10: Unsupervised Learning and Dimensionality Reduction
Clustering algorithms: K-means, hierarchical clustering
Dimensionality reduction techniques: Principal Component Analysis (PCA), t-distributed Stochastic Neighbor Embedding (t-SNE)
Week 11-12: Introduction to Big Data and Data Visualization
Introduction to Big Data technologies: Hadoop, Spark
Basics of SQL for querying relational databases
Advanced data visualization techniques using Plotly and interactive dashboards
Week 13-14: Real-world Data Science Projects
Working on small-scale data science projects or case studies
Applying the concepts learned throughout the course to analyze datasets and draw insights
Presenting findings and insights to peers
Week 15: Capstone Project
Collaborative capstone project where students work in teams to solve a real-world data science problem
Applying all the skills and techniques learned throughout the course
Presentation of the capstone project to instructors and peers
Visit Website-https://www.sevenmentor.com/data-science-classes-in-nagpur
U2FsdGVkX19Ifo6JIFOGHHobuNtvp0PFf8UL+BDHBi1YrTZZkuUtIqedQ7PyPnGlNzibfRvr1KEQexFg4nRdKPaNucg/Yh54Rfjo
PLsmXeBmWWogGCYF4QW99uCmS/BJCigoDQnHpnXOMuxS8ixt5k/m1GIAj+HlZh8VQTLCe44xmj56SZa5ak+gyBMjnHfmX3LqquAE
poFT2KTHgGBDnMS8/X0qMYfGC8w2dA8ZM+1fL554HXgedS5ZxrkeKYSSETzIKHEOJaXhT4X7OaqLi3X4Hpa6c6+GTqmd9o+9hy/F
vv9KBBpPChYNsDhBdtTTprhWT7RHd0oMAx6siSsrQgO5IqZe5rVOa7YqtLXBbs0itaJt4gFji5Je59nKknao0/t0PXLE3Ur+XUuU
/8iYvUgg3kYJf1OcJSdKbFNWBz0aOjydrp2iC/2cC6ONYZjOiH/Vz2wh2cVySWy3eSHIvPYjHboGoewwnj8VWumPiV3Xl4bwufdS
xTPo1W9ANTYeHTB271GywiUZm6qCjiuzKeKD97XzafP7th/MTTfuhurJhguyBmeYYxlfFAMtsTDKvJi8s9iTAwt1vHejrH8aoad+
jY22zVokq+m864u21iwSy1RXCZU6OvVOFvhllOeDQAoyWGOew2loV5bvvw1UvW4/carHyB7firNKqHVdvV1aiPCAnU4+40SSKdZu
0TqrnR58vpQnrOAEQlwGiEyCGPT1tfMn8cMUxB0dOOAT9RZwAUs9q/MUtTiOyynZiCk0AklWQcRQdUK9RCyo4+K0lGNpY+TOotj4
4bIWm2s+d4xK5hApbW6XvPdTh31vAuc80nc8ohlycCZWXvnV08hIfJ97UALM5IyUZd03RbdqChRYlTW9Txs1JLkNGX3JXr8RHzrI
ZCRBGtGx8iOGGq4gkja0oD5Qd54TcZR1HLAxugyeivHQFv5J3Q3DElgVM0a2t7B9rc/IU2rziuPgcSWABmcEv6H3VOR/2w7Dti2y
rJcOW0ylm9YUUQAfzQ/Viwvvs5TlZFeQJsMjcfu70AESHNp2AH0zKWUFF/QZjUG6QEoG85OvhKowii7wuB0NbIPgoznECxw203IH
H2o38u3uVYBDyLVx6zyhdp3at1CGU/Uy2z/No8ziwagJG1kLI7P7g1hP56w06D/GLcp6o1WyVWjbyCwgAD+mUVGruES6w+QMQFyH
Sw3c8Xxja2OB9ROA7oNheNyA7OmiPjBQvua8TyCSy5V5sC4WTdnZI58gPYLx5gfkOXKjd72XfRN1zfNj3LbXUx3aHBC9NUiJAsIA
HbPA4E+gij0iyUw/5sLSmZU9jaJih1WMTfvIKqj6Z5mwN19fF1rSVbcVVQM72uQTTsypaNEgGagi/9lbCkJDbgMa4tGhFPgEcDyi
ACO14bo/CqNy6BT8xzjRQ/49rB6/nj2yZFWN2wDMODbYMfd7PRPBGzlPqa0GiGeR7cShGT/4XuZxAHelk/pYT2PSC0g2/f3ylLI5
eT/oxzk4c8LVBJvLtCp0VjBb0VIpPS9IRceTeoWp4PealdYI6dUabu8n7EOd9gdgkR7AXXtGmY1Ghmah/IP+8FXZBQPIAkIPO0bq
VaSUZgZuSWcVcjn87eskPLZSH/RQOUoi75SUwHuMQtxbckAeP7VsMMbVdW3IMjpssQCrqeqtxEHXr1Yqd4/Nb+OlN2MD+Kyui23m
YhLD2Ux5ZGaXGY6kkUlJZRaYIAmmRjVHeVJblwLYF3RCcOXvL4Pf1BXePUj2aes89EcTbSdO4tcYtiSn/1Ol+0JBrHRgJy7WgDwS
cTcwxsWMfwxI/FFOHnx3VPpPOzb7HM9xWcwFZBZrrbFQDa6vwTQaH0ceZmiyF5rZtKzp9BKsR09/pghYPeQkfcG/FPOwPZdUcekw
l+8uZqugcsBUDc/40HHtNqtrYmZLadokQviPUnMO/MJ5BfsZrs7qTWejRLAf1HXJthnR+pCZHclPuoLgnhH27ov/ZrLhBi/FXzor
LfXmJDVCHUGzb/PV0NBaazfUyg6YIjDw7FkfDv1TSxd1sjki7Z30LEuqdF3c5D1TR3qm+URuztBevjb58C4GVPqt6ITDG0fNyxAL
EhBECQEeYgEZGH82nYsTa3e4uM3QDVs+kmrnJrbxUt9RKbHPapPCJfMRj8Go/GUM08zvV2uZjTSKWyuujW/Lp6gluOd58LlXzPah
rI+NFbCMLcIifkhXLUK0ltR2Bo+WO5C4f/7ckkGrEVhlIQw6TyMYNuxxRgKaZ2g3JC9QRzKBU5h+/Uw+R3UT1say4wvRCu2KNLpj
qZ9osaBolInFWYfMubV8uqDX74ABNJOKAU8ZdJrly+t31d+tBE2yJ0468oA/nxoWBxTIe8OtZwgef2iWCJw8E20IJ23ZvBhqpcQf
6zmmcBT1DWuMz8iTb24QRNbSNeOIt3ay0p3VVjEUXLHO+zxlBykWkxMPMRnxLk1y5Gzb0HGYYIBg556pVoCTlGXfT5JScIm6pltM
OwqsF2uy2XJBuThhWhmt9IeNYeWACYo55/STeEbj7J5ezKNGh0uiKqAe9FzqZSISC7dK9xQP1T1++cgI8g==

Reply to "Re: Re: Data Science Course Syllabus For Beginners"

Here you can reply to the paste above