R기반 빅데이터 머신러닝 과정 모집입니다. 10월 6,11,16일 부터 시작

<div><p><br></p><p><br></p><p><br></p><p><span class="se_fs_T2 " style="color: rgb(247, 247, 247); background-color: rgb(99, 21, 95);"><b>Data Science Workshop I </b></span><span class="se_fs_T2 " style="color: rgb(247, 247, 247); background-color: rgb(99, 21, 95);"><b>- </b></span><span class="se_fs_T2 " style="color: rgb(247, 247, 247); background-color: rgb(99, 21, 95);"><b>데이터 사이언스 활용사례 분석</b></span><br>본 강의는 21세기에 가장 유망한 직종 중 하나인 데이터 사이언스(Data Science) 분야에 관심을 가지신 모든 분들에게 데이터 사이언스가 실제로 적용되고 있는 다양한 사례들을 접하실 수 있는 기회를 제공하여 이 분야에 대한 이해의 폭을 넓히실 수 있도록 기획되었습니다. 이 분야에서 널리 사용되고 있는 분석 툴인 R을 사용한 실습을 통해 일상 생활 및 업무 현장에서 자주 접하게 될 <span style="background-color: rgb(133, 221, 255);"><i><b>다양한 예제들을 경험</b></i></span>해봄으로써 데이터 사이언스의 매력을 느껴보시길 바랍니다.<br><br><b><강의 개요</b><b>></b></p><div class="se_component se_table default"><div class="se_sectionArea se_align-left"><div class="se_editArea"><div class="se_table_wrap" id="SEDOC-1538293285711--883423455_table_0" data-attachment-id=""><div class="se_table_innerWrap"><table class="se_table_col" style="width: 79%;"><tbody><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); margin: 0px; padding: 0cm 5.4pt; border: 1pt solid windowtext; border-image: none; width: 21.89%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">일자</span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">(</span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">요일</span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">)</span><br><br></div> </td><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 1pt 1pt 1pt medium; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">주제</span><br><br></div> </td><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 1pt 1pt 1pt medium; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">강의 내용</span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>사전교육</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>R 기본적 사용법</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>설치 및 기본적 사용법</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>10/06(토)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>주식시장 모형</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>가치투자 종목발굴</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>10/13(토)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>전자상거래 데이터 분석</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>거래 데이터를 이용한 고객군 분할</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>10/20(토)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>상품 추천 엔진</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>상품 추천 알고리듬 특징 이해</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 48px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>10/27(토)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>행태 데이터 분석</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 48px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>인간 행위 패턴 및 규칙 발견</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: medium 1pt 1pt; border-style: none solid solid; border-color: rgb(240, 240, 240) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 21.89%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>11/03(토)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 31.01%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>스포츠 경기 시뮬레이션</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: medium 1pt 1pt medium; border-style: none solid solid none; border-color: rgb(240, 240, 240) windowtext windowtext rgb(240, 240, 240); margin: 0px; padding: 0cm 5.4pt; width: 47.09%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 " style="color: rgb(39, 39, 39);"><b>가상 경기 진행을 통한 승패 예측</b></span><br><br></div> </td></tr></tbody></table></div></div></div></div></div><p><br></p><div class="se_component se_paragraph default"><div class="se_sectionArea"><div class="se_editArea"><div class="se_viewArea se_ff_nanumgothic se_fs_T3 se_align-left"><div class="se_editView"><div class="se_textView"><p class="se_textarea"><a class="se_link" href="http://www.quantglobal.co.kr/mall/Board_View.asp?BoardCode=nn_notice&B_iID=3917" target="_blank"><span class="se_fs_T2 " style="color: rgb(241, 47, 34);"><b><u>상세내용보기 클릭!!!</u></b></span></a><br><br><span class="se_fs_T2 " style="color: rgb(247, 247, 247); background-color: rgb(99, 21, 95);"><b>데이터사이언스 Workshop II - Machine Learning을 이용한 빅데이터 분석</b></span><br>본 강의는 4차산업혁명의 원동력인 빅데이터 분석에 필수적인 기계학습에 관해 <b><i>기본 개념부터 구현 원리 전반</i></b>을 상세히 설명하고 있습니다. 본 강의에서는 이론적 설명뿐만 아니라 기계학습이 실제로 어떻게 사용될 수 있는지를 체험하실 수 있도록 오픈 소스<b><i> 프로그래밍 언어인 R</i></b>을 이용하여 다양한 기계학습 알고리듬에 실제 데이터를 적용하는 과정과 그 결과를 분석하는 실습을 병행합니다. 본 강의에서는 실제 업무에 바로 적용 가능한 소스코드와 실습에 필요한 모든 데이터 및 소프트웨어를 제공합니다.<br><br><br></p></div></div></div></div></div></div><div class="se_component se_table default"><div class="se_sectionArea se_align-left"><div class="se_editArea"><div class="se_table_wrap" id="SEDOC-1538293285711--883423455_table_1" data-attachment-id=""><div class="se_table_innerWrap"><table class="se_table_col" style="width: 100%;"><tbody><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); margin: 0px; padding: 0cm 5.4pt; border: 1pt solid windowtext; border-image: none; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>일자</b></span><span class="se_fs_T3 "><b> </b></span><span class="se_fs_T3 "><b>(</b></span><span class="se_fs_T3 "><b>요일</b></span><span class="se_fs_T3 "><b>)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 1pt 1pt 1pt 0px; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>주제</b></span><br><br></div> </td><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 1pt 1pt 1pt 0px; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>강의 내용</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>사전교육 1</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>R기본적 사용법</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>설치 </b></span><span class="se_fs_T3 "><b>및 기본적 사용법</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>사전교육 2</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>기계학습 기초개념</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>알고리듬 </b></span><span class="se_fs_T3 "><b>정의/작동원리/종류/특징/용도</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>10/11(목)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>데이터 분류 및 분할</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Classification(Nearest Neighbor) / Clustering(k-means)</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>10/18(목)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>판별 및 의사 결정</b></span><span class="se_fs_T3 "><b> </b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Decision Tree / Naïve Bayes</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b> 10/25(목)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>규칙 및 패턴 발견</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Rule-based classification / Association rules</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>11/01(목)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Black Box 기법</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Artificial Neural Networks / Support Vector Machines</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="background: rgb(217, 217, 217); border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 7.29%; height: 73px;" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>11/08(목)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 15.42%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>모형 성능 개선</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 77.27%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Bagging / Boosting</b></span><br><br></div> </td></tr></tbody></table></div></div></div></div></div><p><br></p><div class="se_component se_paragraph default"><div class="se_sectionArea"><div class="se_editArea"><div class="se_viewArea se_ff_nanumgothic se_fs_T3 se_align-left"><div class="se_editView"><div class="se_textView"><p class="se_textarea"><a class="se_link" href="http://www.quantglobal.co.kr/mall/Board_View.asp?BoardCode=nn_notice&B_iID=3918" target="_blank"><span class="se_fs_T2 " style="color: rgb(241, 47, 34);"><b><u>상세내용보기 클릭!!!</u></b></span></a><br><br><br><span class="se_fs_T2 " style="color: rgb(247, 247, 247); background-color: rgb(99, 21, 95);"><b>데이터 사이언스 Workshop III - R을 이용한 인공지능 애널리스트 II</b></span><br><span style="color: rgb(0, 0, 0);">이번 워크샵은 4차산업혁명의 키워드인 빅데이터를 웹 스크랩핑 기법으로 수집하여 </span><span style="color: rgb(0, 0, 0);"><b><i>텍스트 마이닝 기법</i></b></span><span style="color: rgb(0, 0, 0);">으로 가공하고 빅데이터 분석 기법으로 해석하는 일련의 문서 데이터 분석 작업을 R이 제공하는 다양한 자연어처리 라이브러리 및 강력한 통계분석 기능을 활용하여 자동적으로 처리하는 방법을 압축적으로 소개합니다.</span><span style="color: rgb(0, 0, 0);"> </span><br><br><b><</b><b>강의 개요</b><b>></b></p></div></div></div></div></div></div><div class="se_component se_table default"><div class="se_sectionArea se_align-left"><div class="se_editArea"><div class="se_table_wrap" id="SEDOC-1538293285711--883423455_table_2" data-attachment-id=""><div class="se_table_innerWrap"><table class="se_table_col" style="width: 100%;"><tbody><tr><td class="se_cell se_align-left" style="margin: 0px; padding: 0cm 5.4pt; border: 1pt solid windowtext; border-image: none; width: 6.36%; height: 99px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>일자</b></span><span class="se_fs_T3 "><b> </b></span><span class="se_fs_T3 "><b>(</b></span><span class="se_fs_T3 "><b>요일</b></span><span class="se_fs_T3 "><b>)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 1pt 1pt 1pt 0px; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 99px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>주제</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 1pt 1pt 1pt 0px; border-style: solid solid solid none; border-color: windowtext windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 99px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>강의 내용</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 6.36%; height: 73px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>사전 교육</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>R 사용법</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>설치, 데이터 입출력, 그래픽</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 6.36%; height: 73px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>10/16(화)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Text Mining 개요</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>한글/영어 문서 자동 수집 및 분석</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 6.36%; height: 73px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>10/23(화)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>Social Media 분석</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b> 종목</b></span><span class="se_fs_T3 "><b>관련 SNS 정보 자동 수집, 분석 및 시각화 통한 시황</b></span><br><span class="se_fs_T3 "><b>  전망</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 6.36%; height: 73px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>10/30(화)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>문서 데이터 분석</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>게시판</b></span><span class="se_fs_T3 "><b>댓글, 경제 신문 헤드라인 등 각종 경제 금융 관련 문서의 핵심어 비교 분석을 통한 주요 현안 파악</b></span><br><br></div> </td></tr><tr><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt; border-style: none solid solid; border-color: rgb(0, 0, 0) windowtext windowtext; margin: 0px; padding: 0cm 5.4pt; width: 6.36%; height: 73px; background-color: rgb(226, 226, 226);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>11/06(화)</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 14.18%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>빅데이터 분석 개요</b></span><br><br></div> </td><td class="se_cell se_align-left" style="border-width: 0px 1pt 1pt 0px; border-style: none solid solid none; border-color: rgb(0, 0, 0) windowtext windowtext rgb(0, 0, 0); margin: 0px; padding: 0cm 5.4pt; width: 79.45%; height: 73px; background-color: rgb(255, 255, 255);" rowspan="1" colspan="1"><div class="se_cellArea"><span class="se_fs_T3 "><b>대용량 </b></span><span class="se_fs_T3 "><b>데이터 입출력 및 통계 처리</b></span><br><br></div> </td></tr></tbody></table></div></div></div></div></div><p><br></p><div class="se_component se_paragraph default"><div class="se_sectionArea"><div class="se_editArea"><div class="se_viewArea se_ff_nanumgothic se_fs_T3 se_align-left"><div class="se_editView"><div class="se_textView"><p class="se_textarea"><a class="se_link" href="http://www.quantglobal.co.kr/mall/Board_View.asp?BoardCode=nn_notice&B_iID=3919" target="_blank"><span class="se_fs_T2 " style="color: rgb(241, 47, 34);"><b><u>상세내용보기 클릭!!!</u></b></span></a><br><br><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>개강:  </b></span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>Workshop I  : </b></span><span class="se_fs_T3 " style="color: rgb(102, 102, 102);"><b>2018.10.06 – 2018.11.03 매주 토 14:30~19:30</b></span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>         </b></span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b> </b></span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>Workshop II :  </b></span><span class="se_fs_T3 " style="color: rgb(102, 102, 102);"><b>2018.10.11 – 2018.11.08 매주 목 19:00~22:00</b></span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>          </b></span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b>Workshop III</b></span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><b> : </b></span><span class="se_fs_T3 " style="color: rgb(102, 102, 102);"><b>2018.10.16 – 2018.11.06 매주 화 19:00~22:00</b></span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">장소:  여의도 강의장(여의도역 반경 50M 이내)</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">강사:  한창호, 콴트글로벌 대표 / 경제학박사</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">신청: </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><a class="se_link" href="http://www.quantglobal.co.kr/" target="_blank"><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"><u>www.quantglobal.co.kr</u></span></a><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">공지사항 게시판에서 신청서 다운로드</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">비용</span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">: </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">Workshop I  :  </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">66만원</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">         </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">Workshop II  : </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">55만원</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">         </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">Workshop III</span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);"> </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">: </span><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">45만원</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">문의:  E-mail> crm@quantglobal.co.kr, Tel> 02.761.8090</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">기타:  실습을 위한 노트북 컴퓨터 지참 필수</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">특징:  업무에 바로 적용 가능한 소스 코드 및 데이터 제공</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">사전교육: R 기본적 사용법 동영상 강의 제공(8시간)</span><br><span class="se_fs_T3 " style="color: rgb(0, 0, 0);">사후교육: 강의 녹화 동영상 3개월간 제공</span><br><br><br><br><b><교수소개</b><b>></b><br><b>한창호</b><b> </b><br><b>Profile </b><span style="color: rgb(0, 0, 0);"><b>  </b></span><span style="color: rgb(0, 0, 0);"><b> </b></span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2008.06~현재 콴트글로벌 대표</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2018.09~현재 고려대학교 기술경영전문대학원 겸임교수</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2015.10~2016.08 전 가톨릭대학교 산업수학센터 연구교수</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2011.03~2015.09 전 가톨릭대학교 수학과 겸임교수</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2013.03~2015.08 전 성균관대학교 경영대학 겸임교수</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2004.10~2008.06 삼성금융연구소</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">2001.3~2004.10 (주)한국기업평가</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">1999.12~2001.3 에너지경제연구원</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">1999 University of California, San Diego, 경제학 박사(계량경제학 전공)</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">1991 서울대학교 대학원 졸업, 경제학 석사</span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);">1989 서울대학교 경제학과 졸업, 경제학 학사</span><br><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);"><주요 학술 저술></span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"The DNA of Security Return",</span><span class="se_fs_T4 " style="color: rgb(109, 109, 109);"> </span><span class="se_fs_T4 " style="color: rgb(0, 0, 0);"><i>Quantitative Finance</i></span><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">, vol.15, no.1, pp. 1-17. 2015</span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"수익률 DNA를 이용한 금융시장 분석 방법론", 자산운용연구, vol 2, no.1, pp 82-106, 2014. </span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"Measuring the Dependency between Securities via Factor-ICA Models", </span><span class="se_fs_T4 " style="color: rgb(109, 109, 109);"> </span><span class="se_fs_T4 " style="color: rgb(0, 0, 0);"><i>Journal of Applied </i></span><br><span class="se_fs_T4 " style="color: rgb(0, 0, 0);"><i>   Finance and Banking</i></span><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">, vol. 4,  no. 1, 2014. </span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"금융경쟁력 결정요인에 대한 실증연구",  국제경제연구, Vol. 13, No.3, pp. 53-75, 2007.</span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"NAFTA와 외환위기 이후 멕시코 금융산업", 라틴아메리카연구, Vol II, No. 1, pp. 55-79, 2007.</span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">기업신용위험분석, 금융연수원, 2002.</span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"Multi-Variate Estimation and Forecasting with Artificial Neural Networks", 박사학위논문, UCSD, 1999.</span><br><span class="se_fs_T4 " style="color: rgb(109, 109, 109);">"비모수적 분포무관인 구조변화 검증통계량", 석사학위논문, 서울대학교, 1991.</span><br><div class="autosourcing-stub-extra" style="-ms-zoom: 1; opacity: 1;"></div><br></div></div></div></div></div></div><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p><br></p><p style="text-align: center;"><a class="tx-link" href="http://www.chippostudy.com/SubView/22938" target="_blank"><img width="200" class="txc-image" id="A_251E3B4F54D443220C5893" style="clear: none; float: none;" 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