data analytics finance using di untwal nitin (29 risultati)

Condizione: NEW.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days. 453.

Condizione: New. In.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 152 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Taschenbuch. Condizione: Neu. Neuware - Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python' is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques.

Condizione: New.

Condizione: New.

hardcover. Condizione: Very Good.

Paperback. Condizione: Brand New. 152 pages. 9.18x6.12x9.21 inches. In Stock.

Paperback. Condizione: new. Paperback. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condizione: new. Paperback. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Paperback. Condizione: new. Paperback. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days. 320.

Condizione: New. In.

Condizione: New.

Condizione: New.

Buch. Condizione: Neu. Neuware - Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python' is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques.

Hardcover. Condizione: new. Hardcover. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: Brand New. 152 pages. 9.18x6.12x9.21 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Unlock the power of data analytics in finance with this comprehensive guide. Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets.In this book, youll discover how to harness the latest data analytics techniques, including machine learning and inferential statistics, to make informed investment decisions and drive business success. With a focus on practical application, this book takes you on a journey from the basics of data preprocessing and visualization to advanced modeling techniques for stock price prediction.Through real-world case studies and examples, youll learn how to:Uncover hidden patterns and trends in financial dataBuild predictive models that drive investment decisionsOptimize portfolio performance using data-driven insightsStay ahead of the competition with cutting-edge data analytics techniquesWhether youre a finance professional seeking to enhance your data analytics skills or a researcher looking to advance the field of finance through data-driven insights, this book is an essential resource. Dive into the world of data analytics in finance and discover the power to make informed decisions, drive business success, and stay ahead of the curve.This book will be helpful for students, researchers, and users of machine learning and financial tools in the disciplines of commerce, management, and economics. Unlock the power of data analytics in finance with this comprehensive guide. 'Data Analytics for Finance Using Python is your key to unlocking the secrets of the financial markets. In this book, you'll discover how to harness the latest data analytics techniques. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Hardcover. Condizione: Brand New. 152 pages. 9.18x6.12 inches. In Stock. This item is printed on demand.