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The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為5 個月
建議 3 小時/週
英語(English)
字幕:英語(English), 韓語, 阿拉伯語(Arabic)
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
可分享的證書
完成後獲得證書
100% 在線課程
立即開始,按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為5 個月
建議 3 小時/週
英語(English)
字幕:英語(English), 韓語, 阿拉伯語(Arabic)

此專項課程包含 5 門課程

課程1

課程 1

Introduction to Data Analytics for Business

4.7
1,389 個評分
377 條評論
課程2

課程 2

Predictive Modeling and Analytics

3.7
368 個評分
119 條評論
課程3

課程 3

Business Analytics for Decision Making

4.6
847 個評分
220 條評論
課程4

課程 4

Communicating Business Analytics Results

4.5
247 個評分
48 條評論

提供方

科罗拉多大学波德分校 徽標

科罗拉多大学波德分校

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  • Ideally, your background would include some basics of data manipulation, statistics, and models for decision making. Learners must have working knowledge of Excel and some basic understanding of high-level programming instructions. This is not a computer science specialization but students will be learning some basic commands in SQL.

  • Although the four courses in the specialization can be taken separately, they are deeply integrated around their lessons. We recommend taking them in the order that they are offered.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • At the end of this specialization, you will be able to:

    Apply data analytics to business problems. This involves the entire business analytics process, from data capturing, extraction, analysis, modeling, and presentation of findings.

    Extract and manipulate data stored in large databases using SQL.

    Identify and apply statistical models that are commonly used to implement descriptive analytics.

    Apply predictive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models based on regression, simulation, and data mining.

    Apply prescriptive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models pertaining to linear programming, integer programming, and simulation-optimization methods.

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