Data Analytics in Business

1. Introduction to Data-Analytics

2. Data and Data Science Capability as a Strategic Asset

3. Business Problems and Data Science Solutions

4. Data Driven Decision Making

5. Applying Data Science to Business and Industry

6. Types of Data Analytics

7. Practical Data Analytics

8. Data Analytics in business sectors

9. Sales and Marketing Analytics

10. CRM (Customer Relationship Management) and Data Analytics

11. Data collection and automation

12. Data Understanding

13. Data Processing

14. KPIs for Data Analytics

15. Business Performance Metrics and Dashboards

16. Business Intelligence and Data Visualization

17. Data Interpretation

18. Data Storytelling and presentation

19. E-commerce and Data Analytics

20. Emerging technologies for Data Science

Books:

1- Storytelling with Data: Let's Practice! by Cole Nussbaumer Knaflic (2018)

2- The Model Thinker: What You Need to Know to Make Data Work for You by Scott E. Page (2018)

3- Big Data MBA: Driving Business Strategies with Data Science by Bill Schmarzo (2018)

4- Data Analytics for Managers: An Introductory Guide for Decision Makers by Wolfgang Jank (2018)

5- Data Analytics: An Essential Beginner's Guide to Data Mining, Data Collection, Big Data Analytics for Business, and Business Intelligence Concepts by Herbert Jones (2019)

6- Data Analytics and Business Intelligence: Making Data-Driven Decisions by Steve Williams and Nancy Williams (2020)

7- Data Science for Managers: How to Use Data for Better Decision-Making by Tomasz Tunguz and Frank Bien (2021)

8- Data-Driven: Creating a Data Culture by Hilary Mason and DJ Patil (2022)

9- Data Science for Business Leaders: Understand Data, Drive Value, Influence Strategy by Nir Kaldero (2023)

Online ressources:

1. Mallory Freeman, Your company's data could help end world hunger, https://www.ted.com/talks/mallory_freeman_your_company_s_data_could_help_end_world_hunger

2. Giorgia Lupi, How we can find ourselves in data, https://www.ted.com/talks/giorgia_lupi_how_we_can_find_ourselves_in_data

3. Sebastian Wernicke, How to use data to make a hit TV show, https://www.ted.com/talks/sebastian_wernicke_how_to_use_data_to_make_a_hit_tv_show

4. Mainak Mazumdar, How bad data keeps us from good AI, https://www.ted.com/talks/mainak_mazumdar_how_bad_data_keeps_us_from_good_ai

5. Susan Etlinger, What do we do with all this big data?, https://www.ted.com/talks/susan_etlinger_what_do_we_do_with_all_this_big_data

6. Jer Thorp, Make data more human, https://www.ted.com/talks/jer_thorp_make_data_more_human

7. Tricia Wang, The human insights missing from big data, https://www.ted.com/talks/tricia_wang_the_human_insights_missing_from_big_data

8. Hans Rosling, Let my dataset change your mindset, https://www.ted.com/talks/hans_rosling_let_my_dataset_change_your_mindset

KNOWLEDGE and SKILLS

1- Students will develop the ability to apply data analytics to real-world business scenarios.

2- Students will develop proficiency in data analysis techniques.

3- Students will learn to create effective data visualizations and dashboards, enhancing their ability to present and communicate insights to diverse audiences.

4- Students will acquire problem-solving skills by applying data analytics to real-world business challenges, resulting in data-driven solutions.

5- Students will be equipped with data-driven decision-making skills.

6- Through the exploration of various business sectors, students will acquire industry-specific knowledge and insights.

7- Students will gain experience in utilizing business intelligence tools for data analysis and reporting.

8- Students will learn how to assess the business impact of data analytics projects, including measuring key performance indicators (KPIs)

9- Students will enhance their communication skills, particularly in conveying data-driven insights and findings to both technical and non-technical stakeholders.

10- Students will cultivate strategic thinking skills by recognizing data as a strategic asset and aligning data analytics efforts with organizational strategies.