[et_pb_section fb_built=”1″ fullwidth=”on” admin_label=”section” _builder_version=”3.22″][et_pb_fullwidth_slider admin_label=”Fullwidth Slider” _builder_version=”4.1″ parallax=”on” custom_padding=”|||” custom_padding_tablet=”|||” custom_padding_phone=”|||” hover_enabled=”0″ box_shadow_style=”preset6″ box_shadow_blur=”10px” box_shadow_color=”rgba(0,0,0,0.1)” remove_inner_shadow=”off” hide_content_on_mobile=”off” hide_cta_on_mobile=”off” show_inner_shadow=”on” button_letter_spacing_hover=”0″ button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”off” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”on” button_letter_spacing__hover=”0″ button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][et_pb_slide heading=”DATA SCIENCE WITH PYTHON WORKSHOPS” use_bg_overlay=”off” use_text_overlay=”off” admin_title=”banner” _builder_version=”4.1″ header_font=”Montserrat|on|||” header_font_size=”56″ body_font=”|on|||” background_color=”#444444″ background_image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/O7MEW30.jpg” custom_button=”on” button_font=”||||” button_icon_placement=”right” button_on_hover=”on” background_layout=”light” hover_enabled=”0″ header_font_size_tablet=”56″ header_font_size_phone=”56″ button_text_color_hover=”#ffffff” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”on” button_text_color__hover=”#ffffff” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”]<\/p>\n
10 Modules\u00a0\u2022 10 Months\u00a0\u2022 From 0 to 100<\/p>\n
[\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” column_structure=”1_3,1_3,1_3″][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_blurb title=”Skills & Tools” image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/computer.png” icon_placement=”left” image_max_width=”none” admin_label=”Blurb” _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation=”off” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Use Python to mine datasets and predict patterns.
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_blurb title=”Production Standard” image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/networking.png” icon_placement=”left” image_max_width=”none” admin_label=”Blurb” _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation=”off” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Build statistical models, regression and classification, that generate usable information from raw data.
\n[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_blurb title=”The Big Picture” image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/analytics.png” icon_placement=”left” image_max_width=”none” admin_label=”Blurb” _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” animation=”off” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Master the basics of machine learning and harness the power of data to forecast what\u2019s next.
\n[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” admin_label=”section” _builder_version=”3.22″ background_color=”#27c9b8″ background_image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2016\/12\/Artboard-2@7x.png” custom_padding_tablet=”50px|0|50px|0″ transparent_background=”off” padding_mobile=”off” make_fullwidth=”off” use_custom_width=”off” width_unit=”on”][et_pb_row admin_label=”row” _builder_version=”4.1″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” hover_enabled=”0″][et_pb_column type=”4_4″ _builder_version=”4.1″ custom_padding=”|||” hover_enabled=”0″ custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”section” _builder_version=”3.22″ background_color=”#27323a”][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” text_orientation=”center” background_layout=”dark” module_alignment=”center” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\n
Learn the tools and techniques you need to make better decisions through data, and land a job in one of the most sought after fields in tech.
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/16402763_217686525304762_6754204579041521360_o.jpg” align_tablet=”center” align_last_edited=”on|desktop” admin_label=”Image” _builder_version=”3.23″ animation_style=”slide” animation_direction=”right” animation_duration=”500ms” animation_intensity_slide=”10%” use_border_color=”off” border_color=”#ffffff” border_style=”solid” animation=”right” sticky=”off” always_center_on_mobile=”on”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” column_structure=”1_3,1_3,1_3″][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\n
Take each module separately or at once. Get learn what you need to learn.<\/span> Get your hands dirty and start learning in action. Tackle each module’s capstone project like a Data Scientist!<\/span> Participate each module, complete the capstone project and get a certificate. Show off in your resume and mark it as “I did it”!<\/span> [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=”Row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_toggle title=”Module 1: MATH, & PROGRAMMING FUNDAMENTALS (Click for details)” admin_label=”Module 1″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Python & NumPy: <\/b>Demonstrate introductory programming concepts using Python and NumPy as a tool to navigate data sources and collections<\/span><\/p>\n UNIX: <\/b>Utilize UNIX commands to navigate file systems and modify files<\/span><\/p>\n git: <\/b>Maintain a git repository in order to keep track of changes and iterations as your project evolves.<\/span><\/p>\n Descriptive Statistics: <\/b>Define and apply descriptive statistic fundamentals<\/span><\/p>\n Intro to Plotting and Visualization: <\/b>Practice using plot.ly, iPython notebook and Tableau to plot and visualize data<\/span> Pandas & Pivot Tables: <\/b>Use Pandas to read, clean, parse, and plot data using functions such as boolean, indexing, math series, joins, and others<\/span><\/p>\n SciPy: <\/b>Review statistical testing concepts (p-values, confidence intervals, lambda functions, correlation\/causation) with SciPy<\/span> Bias-Variance Tradeoff: <\/b>Understand bias-variance trade-off to evaluate machine learning models<\/span><\/p>\n Gradient Descent:<\/b> Look behind the hood at the math and theory of how gradient descent helps to optimize the loss function for models<\/span><\/p>\n Regularization & Optimization:<\/b> Learn to apply regularization and optimization when evaluating model fit<\/span> Logistic regression: <\/b>Build, evaluate, and refine a logistic regression model for a given business case study<\/span><\/p>\n NLP: <\/b>Get introduced to natural language processing through sentiment analysis of scraped website data.<\/span> Feature Selection: <\/b>Use feature selection to deepen knowledge of model evaluation<\/span><\/p>\n kNN & SVMs: <\/b>Begin to look at classification models through an application of the kNN algorithm and learn how SVMs can simplify the process of analyzing data for supervised learning algorithms <\/span> Ensemble Models: <\/b>Build and evaluate ensemble models, using decision trees, random forests, bagging, and boosting<\/span> K-Means: <\/b>Practice building and evaluating a k-means algorithm<\/span><\/p>\n PCA: <\/b>Convert a set of observations or variables into principal components in order to improve predictive analysis.<\/span><\/p>\n PostgreSQL: <\/b>Learn to build and maintain your own postgreSQL database<\/span> LDA: <\/b>Refine data using latent dirichlet allocation (LDA)<\/span><\/p>\n Naive Bayes: <\/b>Learn how Naive Bayes can simplify the process of analyzing data for supervised learning algorithms<\/span> ARIMA Model: <\/b>Use the ARIMA model to make predictions with time series data<\/span> Hive & Spark: <\/b>Gain an introductory understanding of how Hive interacts with Hadoop and learn about Spark\u2019s advantages through big data case studies<\/span> 10 Modules\u00a0\u2022 10 Months\u00a0\u2022 From 0 to 100 Use Python to mine datasets and predict patterns. Build statistical models, regression and classification, that generate usable information from raw data. Master the basics of machine learning and harness the power of data to forecast what\u2019s next. BECOME A DATA SCIENTIST Learn the tools and techniques you […]<\/p>\n","protected":false},"author":322,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-313","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/pages\/313","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/users\/322"}],"replies":[{"embeddable":true,"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/comments?post=313"}],"version-history":[{"count":2,"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/pages\/313\/revisions"}],"predecessor-version":[{"id":404,"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/pages\/313\/revisions\/404"}],"wp:attachment":[{"href":"https:\/\/razak.utm.my\/mlds\/wp-json\/wp\/v2\/media?parent=313"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
\n[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\nLearn by Doing<\/h3>\n
\n[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” background_layout=”dark” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\nMark it as DONE<\/h3>\n
\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Section” _builder_version=”3.22″][et_pb_row admin_label=”Row” _builder_version=”3.25″ background_size=”initial” background_position=”top_left” background_repeat=”repeat”][et_pb_column type=”4_4″ _builder_version=”3.25″ custom_padding=”|||” custom_padding__hover=”|||”][et_pb_text admin_label=”Text” _builder_version=”3.27.4″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]<\/p>\nSyllabus<\/h2>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 2: EDA, PANDAS & SCIPY (Click for details)” admin_label=”Module 2″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Experiment Design: <\/b>Plan experimental study design with a well thought out problem statement and data framework<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 3: LINEAR REGRESSIONS, SCIKIT-LEARN, GRADIENT DESCENT, & MODEL FIT (Click for details)” admin_label=”Module 3″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Linear regression, stats models, and scikit learn: <\/b>Use scikit learn and statsmodels to run linear regression models and evaluate model fit<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 4: LOGISTIC REGRESSION, NLP, AND WEB SCRAPING (Click for details)” admin_label=”Module 4″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Web Scraping: <\/b>Learn to scrape website data using popular scraping tools<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 5: SQL, DATABASES, & CLASSIFICATION (Click for details)” admin_label=”Module 5″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]SQL & Remote Databases: <\/b>Get introduced to different types of databases, review SQL commands, and practice connecting to and pulling data from a remote AWS database<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 6: APIS, TREES & ENSEMBLE METHODS (Click for details)” admin_label=”Module 6″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]JSON & APIs: <\/b>Learn to pull JSON data from APIs as another potential data source<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 7: PCA, CLUSTERING, KMEANS & AWS (Click for details)” admin_label=”Module 7″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Clustering: <\/b>Define clustering and it\u2019s advantages and disadvantages from classification models<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 8: BAYESIAN INFERENCE & LDA (Click for details)” admin_label=”Module 8″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Bayesian Methods: <\/b>Build a linear regression model with bayesian methods<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 9: WORKING WITH TIME SERIES (Click for details)” admin_label=”Module 9″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Time Series & Autocorrelation:<\/b> Analyze and visualize time series data using Pandas, plot.ly and Tableau<\/span><\/p>\n
\n[\/et_pb_toggle][et_pb_toggle title=”Module 10: INTRO TO BIG DATA AND SPARK (Click for details)” admin_label=”Module 10″ _builder_version=”3.0.87″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” use_border_color=”off” border_color=”#ffffff” border_style=”solid”]Hadoop & MapReduce: <\/b>Get introduced to the history and use of Hadoop as well as the advantages and disadvantages of using parallel or distributed systems to store, access, and analyze big data<\/span><\/p>\n
\n[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|desktop” admin_label=”section” _builder_version=”3.22″ background_color=”#27c9b8″ background_image=”https:\/\/razak.utm.my\/mlds\/wp-content\/uploads\/sites\/282\/2017\/02\/OF8OVI0.jpg” custom_padding_tablet=”50px|0|50px|0″ transparent_background=”off” padding_mobile=”off” make_fullwidth=”off” use_custom_width=”off” width_unit=”on”][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"