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Introduction to Data Science for Everyone

2 hours
Beginner
What you'll learn
This course is an introduction to data wrangling & data visualization and will apply three main frameworks for data visualization in Python.

SAT MATH Group Sessions on ZOOM(4 Sessions per month)

1.5 hour
Beginner
What you'll learn
A student will learn all the essential concepts of the SAT Math exam and become proficient enough to succeed in the SAT Math exam.

ALGEBRA 1 Group Sessions on ZOOM ( 4 Session per month)

6 hours
Beginner
What you'll learn
A student will learn all the essential concepts of Algebra 1 and become proficient enough to succeed in their class.

Algebra 2 Group Sessions on ZOOM ( 4 Sessions per month)

6 hours
Beginner
What you'll learn
A student will learn all the essential concepts of Algebra 2 and become proficient enough to succeed in PreCalculus and Calculus 1.
-85%

Data Visualization Using the Python Programming Language

4 hours
Beginner
What you'll learn
This course is an introduction to data visualization and will apply three main frameworks for data visualization in Python. The three primary libraries that we will use include Matplotlib, Seaborn, Plotly, and GGPlot2(Grammer of Graphics). By the end of the course, students will be able to
Create summary statistics for a single group and different groups
Generate graphical display of data: histograms, QQ-plot, box plots, bar plots, empirical cumulative distribution, dot charts, and pie charts.
-80%

Data Visualization using R programming Language

3 Lessons
4 hours
Beginner
What you'll learn
Upon completion, participants will be able to:
create various graphical summaries of data
describe the “grammar” of ggplot2 functions
build custom visualizations with ggplot2
-10%

Calculus 1: Introduction to Calculus for Scientists & Engineers ( 4 sessions per month)

1.5 hour
Intermediate
What you'll learn
This course is the first in the calculus curriculum and introduces the central concepts of calculus. Topics include limits, continuity, derivatives of algebraic and transcendental functions of one variable, applications of these concepts, and a brief introduction to the integral of a function.
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