Business Analytics

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Business Analytics will help demystify data and strengthen your analytical skills. Beginning with basic descriptive statistics and progressing to regression analysis, you’ll implement analytical techniques in Eviews, R, Stata and Python and apply fundamental quantitative methods to real business problems—from descriptive analytics to predictive analytics.

The course will introduce the students to the main concepts of big data analytics and tools used in exploring and analyzing big data. There has been recently an accelerated growth in the data that can be used in the analyses of the markets and economies. This calls for specifically designed approaches to deal with it. The course introduces the students to the use of big data with the help of specialized software like R or Python. It also gives the students the basic skills to work and analyze big data with the help of machine learningtechniques.

This course will help you understand in-depth knowledge and innovative interpretation of methods and tools specific to communication and project team management, experimental use of principles and methods specific to financial management and risk management to increase the performance of organizations, complex substantiation of decisions within the program and project based on quantitative methods and advanced quality.

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Key benefits

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RESUME[/fusion_button][/fusion_builder_column][fusion_builder_column type=\”3_5\” type=\”3_5\” layout=\”1_4\” align_self=\”auto\” content_layout=\”column\” align_content=\”flex-start\” valign_content=\”flex-start\” content_wrap=\”wrap\” center_content=\”no\” target=\”_self\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” order_medium=\”0\” order_small=\”0\” padding_right=\”0px\” hover_type=\”none\” border_style=\”solid\” box_shadow=\”no\” box_shadow_blur=\”0\” box_shadow_spread=\”0\” background_type=\”single\” gradient_start_position=\”0\” gradient_end_position=\”100\” gradient_type=\”linear\” radial_direction=\”center center\” linear_angle=\”180\” background_position=\”left top\” background_repeat=\”no-repeat\” background_blend_mode=\”none\” filter_type=\”regular\” filter_hue=\”0\” filter_saturation=\”100\” filter_brightness=\”100\” filter_contrast=\”100\” filter_invert=\”0\” filter_sepia=\”0\” filter_opacity=\”100\” 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Bușu[/fusion_title][fusion_title title_type=\”text\” rotation_effect=\”bounceIn\” display_time=\”1200\” highlight_effect=\”circle\” loop_animation=\”off\” highlight_width=\”9\” highlight_top_margin=\”0\” title_link=\”off\” link_target=\”_self\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” content_align=\”left\” size=\”3\” font_size=\”14\” text_shadow=\”no\” text_shadow_blur=\”0\” margin_top=\”0px\” margin_bottom=\”20px\” gradient_font=\”no\” gradient_start_position=\”0\” gradient_end_position=\”100\” gradient_type=\”linear\” radial_direction=\”center center\” linear_angle=\”180\” style_type=\”default\” animation_direction=\”left\” animation_speed=\”0.3\”]

Vice-Dean at the Faculty of Business Administration in Foreign Languages

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Mihail BUSU is PhD Lecturer and Vice-Dean at the Faculty of Business Administration in Foreign Languages, Bucharest University of Economic Studies. He has a strong background in Applied Mathematics and Statistics, Financial Economics and Risk Management. His research focuses on Statistics and Econometrics, Economic Modelling, Decisional Processes, Financial Risks and Risk Management. He has published more than 20 articles in top scientific journals.

Mihail Busu has a strong expertise in Competition policy and enforcement, knowledge of European cases and market studies and market analysis statistics. For more than 10 years he was conducting statistics and economic analysis on: Cartels and Leniency Programmes for Fines and Abuse of a Dominant Position. At the Romanian Competition Authority his main duties were to conduct sector analysis to identify market failure, particular expertise on secondary legislation, provide economic, statistics and econometric expertise in Antitrust and Merger cases, ex-post and ex-ante evaluations of merger cases, providing economic expertise for the Legal Department on cases pending in Courts. Mr. Busu was peer reviewer for the internal procedures of the Romanian Competition Council and managing databases with economic data relevant to Antitrust investigations

Dr. Busu is involved in international research projects in field of analytics.

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highlight_top_margin=\”0\” title_link=\”off\” link_target=\”_self\” content_align=\”left\” size=\”2\” font_size=\”22px\” text_shadow=\”no\” text_shadow_blur=\”0\” style_type=\”default\” animation_direction=\”left\” animation_speed=\”0.3\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” margin_bottom=\”0px\” margin_top=\”15px\”]

Adriana AnaMaria Davidescu

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Professor at the Department of Statistics and Econometrics of the Bucharest University of Economic Studies

[/fusion_title][fusion_social_links email=\”adriana.alexandru@csie.ase.ro\” show_custom=\”no\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” font_size=\”25\” /][fusion_text rule_style=\”default\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” margin_top=\”25px\” text_transform=\”none\” animation_direction=\”left\” animation_speed=\”0.3\”]

Adriana AnaMaria DAVIDESCU is full professor in the Department of Statistics and Econometrics of the Bucharest University of Economic Studies and senior researcher at the National Institute for Scientific Research in Labor and Social Protection, with over 14 years of experience in socio-economic research and labor market analysis and an extensive expertise of more than 15 yeas in the field of statistics / econometrics, demonstrating an advanced knowledge and experience with quantitative economic analysis and modeling techniques.

Adriana Davidescu has coordinated as director numerous national research projects in the field of informality, holding in 2017 the position of senior expert of the European Commission in the project aimed at implementing the mission, objectives and activities of the European Platform to strengthen cooperation in tackling Undeclared Work.

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highlight_top_margin=\”0\” title_link=\”off\” link_target=\”_self\” content_align=\”left\” size=\”2\” font_size=\”22px\” text_shadow=\”no\” text_shadow_blur=\”0\” style_type=\”default\” animation_direction=\”left\” animation_speed=\”0.3\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” margin_bottom=\”0px\” margin_top=\”15px\”]Petre Caraiani[/fusion_title][fusion_title title_type=\”text\” rotation_effect=\”bounceIn\” display_time=\”1200\” highlight_effect=\”circle\” loop_animation=\”off\” highlight_width=\”9\” highlight_top_margin=\”0\” title_link=\”off\” link_target=\”_self\” hide_on_mobile=\”small-visibility,medium-visibility,large-visibility\” sticky_display=\”normal,sticky\” content_align=\”left\” size=\”3\” font_size=\”14\” text_shadow=\”no\” text_shadow_blur=\”0\” margin_top=\”0px\” margin_bottom=\”20px\” gradient_font=\”no\” gradient_start_position=\”0\” gradient_end_position=\”100\” gradient_type=\”linear\” 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Lecturer at the Faculty of Business Administration in Foreign Languages

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Petre CARAIANI finished his doctoral thesis in 2008 with a study on the business cycles. He has worked in research at the Institute for Economic Forecasting, becoming a senior researcher in 2010.

Since 2019, he is also a lecturer at the Faculty of Business Administration in Foreign Languages. He teaches here macroeconomics, quantitative methods and decision processes. His main research interests are in macroeconomics and finance.

His publications place Petre among the top economic researchers in Romania and he is currently ranked the second best researcher according to the REPEC top.