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We're here to help you find itThe Excel with Python certification focuses on Python's capability to interact with Excel spreadsheets. It is about obtaining proficiency in automating and manipulating Excel tasks with Python, such as reading, writing and modifying spreadsheets, making calculations, drawing graphs, and conducting statistical analysis. This certification is valuable in industries like finance, data analysis and business intelligence where spreadsheet manipulation is frequent. It also promotes efficiency, accuracy, and enables large-scale data processing. The certification serves as an acknowledgement of the person's skill in combining these two powerful tools, making them more valuable and effective in their respective roles.
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| Course Fee | 1,400 |
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Total Fees |
1,400 (USD) |
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
Koenig Learning Stack
Free Pre-requisite TrainingJoin a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.
Assessments (Qubits)Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.
Post Training ReportsReceive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.
Class RecordingsGet access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.
Free Lab ExtensionsExtend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.
Free Revision Classes Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
- Basic understanding of Excel and Python
- Familiarity with Python syntax and data types
- Ability to create and manipulate Excel spreadsheets
- Knowledge of basic arithmetic and statistics
- Experience in data analysis and visualization
- Prior programming experience is beneficial but not mandatory
Excel with Python certification training provides participants with a strong foundation in the usage of Python programming language in Excel. The course covers topics like data analysis, manipulation and cleaning, automating tasks using Python, and implementing machine learning algorithms. It also includes modules on understanding and using Python libraries (such as pandas, NumPy, and Excelwing) for Excel operations. By the end of the course, participants will be proficient in seamlessly integrating Python's powerful functionality with Excel's user-friendly interface.
Learning Excel with Python course in stats provides an advantage of understanding data analysis and manipulation better. It helps in automating Excel tasks, improving efficiency and accuracy. It enhances proficiency in statistical analysis, data visualization, and predictive modeling, increasing value as a data professional.
- Data analysts who want to enhance the analysis process.
- Professionals familiar with Excel, wanting to learn Python.
- Students seeking careers in data science.
- Working professionals aiming for a career switch to data-centric roles.
- Researchers needing advanced data manipulation skills.
- Freelance consultants improving data management services.
• Boost Your Career: Enhance your professional potential with a course that combines two vital technological skills.
• Certified Instructor: Learn from skilled professionals who have been certified to deliver training.
• Customized Training Programs: Have your training tailored to suit your individual or corporate needs.
• Destination Training: Get an opportunity to visit different locations through destination training programs.
• Affordable Pricing: Get valuable training at affordable prices.
• Top Training Institute: Learn from one of the top training institutions globally.
• Flexible Dates: Choose from a variety of training dates that suit your convenience.
• Instructor-Led Online Training: Learn from instructors in real-time, without leaving your home.
• Wide Range of Courses: Choose from a plethora of course options available.
• Accredited Training: Receive training that is officially recognized by authorities, ensuring credibility for your professional skills.
After completing Excel with Python certification training, an individual can acquire a wide range of skills. These include proficiency in utilizing Python to automate Excel tasks, applying Python libraries such as pandas and openpyxl for Excel operations, performing data cleaning and analysis using Excel files in Python, and visualizing Excel data using tools and libraries like Matplotlib and Seaborn. Additionally, they can create, read, update, and delete Excel files using Python, thereby enhancing spreadsheet management skills.
Top companies hiring Excel with Python certified professionals include globally renowned tech giants such as Amazon, Google, Microsoft, Facebook, and IBM. Additionally, leading data analytics firms like Accenture, Deloitte, and KPMG, along with several innovative startups and fintech companies, are also actively seeking these professionals.
The learning objectives for an Excel with Python course are to equip learners with the knowledge and skills to automate and manipulate Excel spreadsheets using Python. Students will learn how to use Python libraries like OpenPyXL, pandas, and others to read, write, and manipulate Excel files. They will learn the use of data analysis tools in Python to handle large datasets in Excel. Additionally, students will understand how to combine the power of Python programming and Excel's analytical capabilities. By the end of the course, they should be proficient in using Python to perform complex tasks in Excel.
