R is one of the most popular programming languages used in statistics and data science, with a rich library for simple and advanced data analysis tasks.<\/p>\n
The most important feature that makes R different from other software programs is that it offers powerful analysis techniques and visualization opportunities in the fields of software, database, statistics, data mining and social network analysis at the same time.<\/p>\n
With this course, you will learn the R language by practicing with real data and gain a comprehensive knowledge of data science. At the end of the course, you will be able to work both in R and in data pre-analysis, processing and visualization.<\/p>\n
Those who want to work in fields such as artificial intelligence, machine learning and deep learning should also have basic skills in statistics and data analysis.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=”in_container” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”left” top_padding=”3%” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid” bg_image_animation=”none”][toggles style=”minimal”][toggle color=”Extra-Color-2″ title=”About Education”][vc_column_text]Education Objectives<\/p>\n
<\/p>\n
Education Content<\/p>\n
Introduction to R<\/p>\n
R assistance system<\/p>\n
File system access with R<\/p>\n
R variables, memory, workspace<\/p>\n
Missing observations<\/p>\n
What is Data?<\/p>\n
What is a Data Type?<\/p>\n
What are the Data Collection Methods?<\/p>\n
Data Mining<\/p>\n
What is a Database?<\/p>\n
Database Management System<\/p>\n
Most Used Database Systems<\/p>\n
Data Centers<\/p>\n
What is Data Science?<\/p>\n
History of Data Science<\/p>\n
Data Science and its Relationship with Other Sciences<\/p>\n
KVKK<\/p>\n
What are Data Science Tools?<\/p>\n
In Which Areas Data Science is Utilized?<\/p>\n
What are the Career Fields in Data Science?<\/p>\n
Statistical Thinking<\/p>\n
Sample<\/p>\n
Observation Unit<\/p>\n
Parameter<\/p>\n
Variables<\/p>\n
Scale Types<\/p>\n
Arithmetic Mean<\/p>\n
Median<\/p>\n
Mod<\/p>\n
Cartilage<\/p>\n
Change Range<\/p>\n
Standard Deviation<\/p>\n
Variance<\/p>\n
Skewness<\/p>\n
kurtosis<\/p>\n
Confidence Intervals<\/p>\n
Hypothesis Testing<\/p>\n
Correlation<\/p>\n
Regression<\/p>\n
Reading Graphic Data<\/p>\n
What is Linear Algebra?<\/p>\n
Where is Linear Algebra Used?<\/p>\n
Linear Equation Properties<\/p>\n
Linear Equation Systems<\/p>\n
Matrix Types<\/p>\n
Matrix Related Terms<\/p>\n
Matrix Operations<\/p>\n
Co-factor of the matrix<\/p>\n
Reduction in Matrices<\/p>\n
Determinant<\/p>\n
Inverse of Matrix<\/p>\n
Vectors Introduction<\/p>\n
Location Vector<\/p>\n
Addition and Subtraction in Vectors<\/p>\n
Scalar Product<\/p>\n
Vector Product<\/p>\n
Linear Dependent<\/p>\n
Eigen Vector<\/p>\n
Vector system<\/p>\n
Numerical vectors<\/p>\n
Character vectors<\/p>\n
Logical vectors and operators<\/p>\n
Category (factor)<\/p>\n
Data frame – csv files<\/p>\n
List – json files<\/p>\n
Subsetting with Boolean variables<\/p>\n
Subclustering with numerical indices<\/p>\n
Subclustering by observation names<\/p>\n
Delete observation<\/p>\n
Assign to a subset of variables<\/p>\n
Conditional flow (if)<\/p>\n
Matrix loops (with index and apply*)<\/p>\n
Modular programming<\/p>\n
Conion writing rules in R<\/p>\n
R’s “formula” system<\/p>\n
Homework with practical exercises<\/p>\n
csv<\/p>\n
json<\/p>\n
xml<\/p>\n
pulling data from http APIs<\/p>\n
Homework with practical exercises<\/p>\n
Principles of graph creation for data analysis<\/p>\n
Base R graphics system[\/vc_column_text][\/toggle][toggle color=”Extra-Color-2″ title=”Who Should Receive the Training?”][vc_column_text]\n
[vc_row type=”full_width_content” full_screen_row_position=”middle” column_margin=”default” scene_position=”center” text_color=”dark” text_align=”center” overlay_strength=”0.3″ shape_divider_position=”bottom” bg_image_animation=”none” shape_type=””][vc_column column_padding=”no-extra-padding” column_padding_position=”all” background_color_opacity=”1″ background_hover_color_opacity=”1″ column_link_target=”_self” column_shadow=”none” column_border_radius=”none” width=”1\/1″ tablet_width_inherit=”default” tablet_text_alignment=”default” phone_text_alignment=”default” overlay_strength=”0.3″ column_border_width=”none” column_border_style=”solid”…<\/p>\n","protected":false},"featured_media":108961,"template":"","meta":[],"product_brand":[],"product_cat":[580,294,253,245],"product_tag":[],"class_list":["post-108560","product","type-product","status-publish","has-post-thumbnail","product_cat-academy-club","product_cat-software","product_cat-business-world","product_cat-general","first","outofstock","shipping-taxable","product-type-simple"],"yoast_head":"\n