AI to improve MS Excel
Terry Winship is a Microsoft Certified Trainer (MCT) with over 20 years of experience in IT management and programming. Her expertise spans a range of software tools, from Microsoft staples like Excel, PowerPoint, Word, and Outlook to modern essentials such as Canva and LinkedIn profile optimization.
In the realm of training, her qualifications don't end at software. She has been accredited by Microsoft to teach the Instructional Skills Certification, a "train the trainer" program. Moreover, she has a Bachelor of Commerce and has provided training on an international scale, giving a broad understanding of diverse learning needs.
Beyond technical training, she has honed and shared skills essential for the modern professional: presentation techniques, public speaking, and speech writing. As a TEDx coach, She had the privilege of guiding speakers in crafting messages that leave a lasting impact.
Throughout
her career, she has been driven by a passion for life-long learning.
Whether you're looking to enhance your software proficiency or develop
your soft skills, she brings to the table a blend of technical know-how,
years of training experience, and a commitment to helping you achieve
your goals.
Data Entry and Cleaning: AI can automate the process of entering data into Excel, reducing manual effort and the risk of errors. It also assists in cleaning data by identifying and correcting inconsistencies, duplicates, or missing values.
Complex Calculations: AI can handle complex calculations and data manipulations that would be time-consuming and prone to error if done manually.
Pattern Recognition: AI excels at recognizing patterns in large datasets, a task that is extremely challenging and time-intensive for humans. This ability is crucial for trend analysis and forecasting.
Predictive Analysis: AI algorithms can predict trends and outcomes based on historical data, which is invaluable for planning and decision-making.
Data Visualization: AI can suggest the most effective ways to visualize data, helping to quickly identify the best charts or graphs to represent complex datasets.
Anomaly Detection: AI is adept at identifying outliers or anomalies in data sets, which can be crucial for error checking or identifying important trends.
Natural Language Processing (NLP): AI-powered NLP allows users to query data using natural language, making data analysis more accessible to those who may not be Excel experts.
Customized Recommendations: AI can provide personalized recommendations based on data patterns, helping users to make more informed decisions.
Course Level - Basic
Who Should Attend
Data Analysts and Scientists, Business Intelligence Professionals, Financial Analysts and Accountants, Marketing Managers and Strategists, HR Managers and Analysts.
Why Should You Attend
- Fear of Falling Behind: In an era where AI is revolutionizing how we work, not leveraging AI in Excel might leave you lagging in efficiency and innovation. Embrace AI tools to stay competitive and relevant in your field.
- Uncertainty in Data Analysis: As data becomes more complex, traditional methods of analysis may no longer suffice. AI offers sophisticated, yet user-friendly solutions for analyzing large datasets, providing clarity and depth in your insights.
- Doubt in Decision-Making: In a world driven by data, making informed decisions is crucial. AI in Excel can help eliminate doubts by providing predictive analytics and trend analyses, enabling more accurate and confident decision-making.
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$200.00
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