M\u1ed9t sinh vi\u00ean vi\u1ebft cho t\u00f4i: \u201cEm t\u1ed1t nghi\u1ec7p trong Qu\u1ea3n tr\u1ecb kinh doanh nh\u01b0ng kh\u00f4ng th\u1ec3 t\u00ecm ra vi\u1ec7c l\u00e0m. B\u1ed1 m\u1eb9 em g\u1ee3i \u00fd r\u1eb1ng em tr\u1edf l\u1ea1i tr\u01b0\u1eddng \u0111\u1ec3 h\u1ecdc Qu\u1ea3n l\u00ed h\u1ec7 th\u1ed1ng th\u00f4ng tin (MIS) v\u00ec n\u00f3 c\u00f3 c\u01a1 h\u1ed9i t\u1ed1t h\u01a1n. Em \u0111\u00e3 h\u1ecdc v\u00e0i m\u00f4n h\u1ecdc v\u1ec1 ng\u00f4n ng\u1eef l\u1eadp tr\u00ecnh m\u00e1y t\u00ednh (nh\u01b0, Java, Python) v\u00e0 \u0111\u00e3 h\u1ecdc t\u1ed1t. Em kh\u00f4ng mu\u1ed1n m\u1ea5t nhi\u1ec1u n\u0103m \u1edf tr\u01b0\u1eddng. C\u00f3 gi\u1ea3i ph\u00e1p n\u00e0o t\u1ed1t h\u01a1n kh\u00f4ng? Xin th\u1ea7y gi\u00fap.\u201d<\/p>\n
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\u0110\u00e1p: N\u1ebfu em c\u00f3 th\u1ec3 l\u1eadp tr\u00ecnh t\u1ed1t v\u00e0 c\u00f3 tri th\u1ee9c v\u1eefng v\u1ec1 th\u1ed1ng k\u00ea v\u00e0 k\u1ebf to\u00e1n \u0111i\u1ec1u ph\u1ea7n l\u1edbn sinh vi\u00ean kinh doanh ph\u1ea3i h\u1ecdc th\u00ec em c\u00f3 th\u1ec3 xin v\u00e0o v\u1ecb tr\u00ed ng\u01b0\u1eddi ph\u00e2n t\u00edch doanh nghi\u1ec7p. Ng\u00e0y nay m\u1ecdi c\u00f4ng ti \u0111\u1ec1u \u0111\u1ed1i di\u1ec7n v\u1edbi kh\u1ed1i l\u01b0\u1ee3ng d\u1eef li\u1ec7u \u0111ang t\u0103ng l\u00ean t\u1eeb c\u00e1c ngu\u1ed3n \u0111i\u1ec7n t\u1eed, v\u00e0 Internet v\u00e0 h\u1ecd c\u1ea7n t\u00ecm ng\u01b0\u1eddi c\u00f3 th\u1ec3 thu th\u1eadp, ph\u00e2n t\u00edch v\u00e0 hi\u1ec3u nh\u1eefng d\u1eef li\u1ec7u n\u00e0y qua th\u1ef1c h\u00e0nh ph\u00e2n t\u00edch d\u1eef li\u1ec7u. \u0110\u00e2y l\u00e0 khu v\u1ef1c t\u01b0\u01a1ng \u0111\u1ed1i m\u1edbi nh\u01b0ng n\u00f3 \u0111ang m\u1edf r\u1ed9ng nhanh ch\u00f3ng. T\u00ecm ng\u01b0\u1eddi ph\u00e2n t\u00edch doanh nghi\u1ec7p c\u00f3 ph\u1ea9m ch\u1ea5t t\u1ed1t l\u00e0 kh\u00f3 v\u00e0 c\u00f3 thi\u1ebfu h\u1ee5t tr\u1ea7m tr\u1ecdng ng\u01b0\u1eddi c\u00f3 k\u0129 n\u0103ng n\u00e0y. M\u1eb7c d\u1ea7u m\u1ed9t s\u1ed1 tr\u01b0\u1eddng kinh doanh \u0111ang b\u1eaft \u0111\u1ea7u d\u1ea1y m\u00f4n n\u00e0y, s\u1ebd m\u1ea5t nhi\u1ec1u n\u0103m n\u1eefa \u0111\u1ec3 l\u1ea5p \u0111\u1ea7y nhu c\u1ea7u n\u00e0y.<\/p>\n
Ng\u00e0y nay ph\u00e2n t\u00edch l\u00e0 m\u1ed9t trong nh\u1eefng th\u1ee9 h\u00e0ng \u0111\u1ea7u m\u00e0 nhi\u1ec1u c\u00f4ng ti c\u1ea7n. M\u1ecdi ng\u00e0nh c\u00f4ng nghi\u1ec7p s\u1ebd s\u1edbm y\u00eau c\u1ea7u c\u00f4ng nh\u00e2n c\u00f3 k\u0129 n\u0103ng n\u00e0y. Em c\u00f3 th\u1ec3 h\u1ecdc m\u00f4n h\u1ecdc ph\u00e2n t\u00edch d\u1eef li\u1ec7u tr\u1ef1c tuy\u1ebfn \u0111\u1ec3 b\u1ed5 sung cho k\u0129 n\u0103ng c\u1ee7a em m\u00e0 kh\u00f4ng ph\u1ea3i quay l\u1ea1i tr\u01b0\u1eddng. B\u1eb1ng c\u1ea5p c\u1ee7a em trong kinh doanh v\u00e0 k\u0129 n\u0103ng t\u00ednh to\u00e1n c\u1ee7a em l\u00e0 \u0111\u1ee7 t\u1ed1t. Trong th\u1ecb tr\u01b0\u1eddng vi\u1ec7c l\u00e0m n\u00e0y, n\u1eafm c\u01a1 h\u1ed9i l\u00e0 m\u1ed9t c\u00e1ch thu \u0111\u01b0\u1ee3c \u01b0u th\u1ebf c\u1ea1nh tranh.<\/p>\n
M\u00f4n h\u1ecdc ph\u00e2n t\u00edch doanh nghi\u1ec7p tr\u1ef1c tuy\u1ebfn:<\/p>\n
https:\/\/www.edx.org\/course\/introduction-business-analytics-gtx-mgt6754<\/a><\/p>\n <\/p>\n https:\/\/www.edx.org\/micromasters\/analytics-essential-tools-methods<\/a><\/p>\n <\/p>\n —English version—<\/p>\n <\/p>\n Business Analyst<\/p>\n A student wrote to me: \u201cI graduate in Business Administration but could not find a job. My parents suggest that I go back to school to study Management of Information System (MIS) since it has a better opportunity. I have taken a few courses in Computer programming languages (i.e., Java, Python) and did well. I do not want to spend more years in school. Is there a better solution? Please help.\u201d<\/p>\n <\/p>\n Answer: If you can program well and have a strong knowledge of statistics and accounting which most business students must learn then you can apply for a Business Analyst position. Today every company is facing with an increasing amount of data from electronic sources, and the Internet and they need to find people who can collect, analyze and understand these data through the practice of data analytics. This is a relatively new area but it is expanding fast. Finding a well-qualified business analyst is difficult as there is a critical shortage of people with this skill. Although some business schools are beginning to teach this subject, it would take many more years to fill the demand.<\/p>\n Today analytics is one of the top things that many companies need. Soon every industry will require workers to have this skill. You could take a data analytic course online to supplement your skills without having to go back to school. Your degree in business and your computing skills are good enough. In this job market, seize the opportunity is one way to gain a competitive advantage.<\/p>\n Online Business Analytics courses:<\/p>\n https:\/\/www.edx.org\/course\/introduction-business-analytics-gtx-mgt6754<\/a><\/p>\n <\/p>\n