Data Science

Uncover Insights, Drive Decisions: Harnessing the Power of Data Science.

"Embark on a transformative journey into the realm of data science. Explore foundational concepts such as statistics and machine learning. Dive deep into data wrangling, visualization, and analysis. Master tools like Python, R, and SQL. Gain practical experience through real-world projects, culminating in the ability to extract actionable insights from data and drive informed decision-making."

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Course Overview

📗Foundations of Data Analysis:
Learn statistical analysis and data interpretation using tools like Python or R.
📗 Machine Learning Techniques:
Explore supervised and unsupervised learning methods and their applications.
📗Data Wrangling and Visualization:
Gain skills in manipulating data and visualizing insights using libraries such as pandas and matplotlib.
📗Big Data Technologies:
Understand how to work with large data sets using platforms like Hadoop and Spark.
📗 Real-World Projects:
Apply theoretical knowledge to solve practical problems and build a portfolio of data science projects.

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>basics

>print

>variables

>loop

>function

>data types

>list

>set

>tuple

>dictionary

>operations

>arithmetic operators

>assignment operators

>comparison operators

>logical operators

>identity operators

>membership operators

>basic terminology

>central limit

>correlation & regression

>skewness & kurtosis

>mean median mode

>Linear regression

>Logistic regression

>KNN

>K – Means

>decision tree

>random forest

>Xg boost

>ANN

>CNN

>RNN

>LSTM

>GRU

>Major project

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