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How do you decide what to decide? Decision scientist Tremaine du Preez decided to cut through the clutter and distil down years of professional experience on organizational decision making to offer straightforward, actionable advice on what goes into making good decisions. This series offers pragmatic advice that will help you leverage criticism, tackle emotion, and challenge assumption to make you a better decision-maker.

Making decisions is far from easy for anyone. Yet, just spending a few minutes a day thinking about HOW you think can help improve your decision-making.  ThoughtLeader, author of Decide, and series host Tremaine du Preez takes us through practical, real-world examples from her own experience in helping organizations with decision-making to help us internalize our process of thinking.

Tremaine du Preez critically examines the conventional characteristics that are believed to be measures of a good decision. She discounts all but one. Find out what that one is in this video.

The best decisions are ones that do not lead to regret and have been made with available resources and a realistic understanding of our limitations.

The first step towards making great decisions is to examine your current decision-making process. How does self-diagnosis help? Find out in this episode.

The Secrets Of A Great Decision-Making Process

Explore and understand the problem fully before finding solutions. That way you will know what all could trip you up when you come up with decisions.

This video explains what a 'metadecision' is, how to make it, and how it helps in speeding up the entire process when making a big decision.

When making an important decision as a team, take time to understand the problem by dividing decision-making meetings into two parts—one to explore the problem and the other to explore solutions thoroughly.

You can make really great decisions but they would prove worthless if you are not addressing the right issue. Learn why getting to the real issue is crucial to making the right decision.

Ask yourselves what the real issue is by looking at all aspects of the problem. Often, in our eagerness to find solutions, we end up addressing the symptom rather than the real problem.

Analyzing a problem from different angles can prove to be a truly empowering tool. This video explains how changing your lens helps with risk assessment and finding solutions.

Looking at a problem from different perspectives can help discover new details, surface hitherto unknown risks, and offer new opportunities for solving it.

Assumptions play a significant role in our decision-making. They are beliefs that come to be recognized as facts. Tremaine du Preez teaches us how to challenge assumptions to make objective decisions in this video.

Assumptions can cloud our decision-making. It is important to acknowledge that we truly don’t know the facts of a matter to be able to stay objective when finding solutions.

It is nearly impossible to separate the emotional component from our reasoning skills. Understanding the role of emotion is key to improving your decision-making skills. This video explains how.

When making a decision, ask yourself: how is my feeling affecting my judgement right now? It will help see the issue objectively and trigger better decisions.

Gathering criticism is a great way to improve your final decisions. But the way we are hardwired, it is not easy for us to accept criticism. This video offers two tips that help make us better at accepting challenges to our thinking.

When seeking critical opinion try not to present your conclusions to others, instead invite experts to comment on your thinking to help generate fresh conclusions.

Whether you're a master in Python or still learning your way around the multi-paradigm programming language, chances are you're making simple mistakes that cost you significant time and productivity. In this course, you'll learn the most common mistakes data scientists make while using Python. By the end of this course, you'll be armed with a list of tools, strategies, and best practices to improve your effectiveness in working with data in Python.

Python Data Science Mistakes To Avoid By Lavanya Vijayan

In this course, you'll learn the most common mistakes data scientists make while using Python. By the end of this course, you'll be armed with a list of tools, strategies, and best practices to improve your effectiveness in working with data in Python.

After watching this video, you will know what background knowledge would be beneficial to have before starting this course.

Module 2: Avoid Mistakes In Coding Practices

One of the most common mistakes when programming is not writing comments along the way. Comments are crucial when you look back on your work and share code with your team. After watching this video, you'll be able to write clear comments that indicate what each piece of your code does.

Another common mistake when working with data is not organizing your directory into categories, which causes clutter and confusion. After watching this video, you'll be able to create subdirectories that keep your files organized.

As you make changes to your code, it is important to consistently test to ensure that your code does not break. If you do not write tests, you may not notice errors in your code. After watching this video, you'll be able to write tests in your programs.

If you share your code with a project partner, but you do not share the data you referenced, there is not much they can do. After watching this video, you'll learn the best practices for collaborating with others and sharing all the data that you are working with.

If you hardcode paths that others do not have access to, they cannot run your code and will have to manually change paths. This can be very frustrating and inefficient. After watching this video, you'll be able to use relative paths to avoid this mistake.

A common mistake that can occur when programming is name clashing with modules from the Python Standard Library. After watching this video, you'll be able to avoid this mistake by naming objects carefully in your code.

Name Clashing With Python Standard Library

A common mistake that can come up when using modules and libraries is not importing them first. After watching this video, you'll be able to recognize errors that result from this mistake and avoid this mistake.

Not Importing Relevant Libraries And Modules

A programming mistake you want to avoid is naming things vaguely. After watching this video, you'll be able to avoid this mistake by giving objects names that are specific and relevant.

Module 3: Avoid Mistakes In Structuring Code

Another common mistake in programming is modifying a list while iterating over it. After watching this video, you'll be able to avoid this mistake by using the approach of list comprehension.

For loops are great, but there are times when for loops are too slow. In these situations, it is better to use vectorized functions, which are faster and more concise. After watching this video, you'll be able to use vectorized functions from the numpy, scipy, and pandas libraries instead of writing for loops.

Using For Loops Instead Of Vectorized Functions

A common mistake to avoid when using object-oriented programming is incorrectly using class variables instead of instance variables. After watching this video, you'll be able to create class variables and instance variables properly when defining classes.

Using Class Variables Vs. Instance Variables

A mistake that can come up when programming is calling functions before defining them. After watching this video, you'll be able to avoid this mistake by defining functions before calling them in your code.

When you're programming, it's important to avoid the mistake of creating circular dependencies. Circular dependencies make it hard to maintain code in the long run, reduce code reusability, and can cause errors. After watching this video, you'll be able to identify circular dependencies and remove them from your code.

Module 4: Avoid Mistakes In Handling Data

When working with data, a common mistake is choosing the wrong data structures. After watching this video, you'll be able to choose data structures that are best suited and most efficient for your project.

Another common mistake that data scientists should avoid is skimming data. After watching this video, you'll be able to avoid this mistake by exploring your data first before writing algorithms and building models.

When creating visualizations of your data, it is easy to get caught up on the aesthetic. But it is important to identify the characteristics of the data that pertain to the problem you are addressing and ensure that those characteristics are the focus of your visualization. After watching this video, you'll be able to choose the right type of visualization.

A mistake that data scientists should avoid is not addressing outliers in data. After watching this video, you'll be able to address outliers in your data using the approach of identifying outliers and then removing them.

Another mistake to avoid when working with data is not updating your dataset properly. After watching this video, you'll be able to identify if your dataset has not been updated and successfully update your dataset as needed.

A common mistake that can occur when working with data is not cleaning your data, which can be problematic. After watching this video, you'll be able to identify when your data has values that should not be there and proactively clean your data.

Module 5: Avoid Mistakes In Machine Learning

A common mistake in machine learning is choosing features that will not be available in the future. After watching this video, you'll be able to avoid this mistake by choosing features that will be available during testing and when your model is run on unseen data.

Using Features That Will Be Unavailable Later

Another mistake to avoid in machine learning is using redundant features, which affects your model's performance. This can result in (1) overfitting, (2) lack of clarity in feature importance, and (3) increase in computational time. After watching this video, you'll be able to identify redundant features.

In this episode, the instructor shares further resources to improve your Python skills.

Wouldn't it be great to have the roadmap to glory? Stephen Covey's 7 Habits of Successful People sets you on the right track. By adopting these habits, you can build up character ethics that are common to people who achieve what they want in life.

7 Habits Of Highly Effective People By Stephen Covey

Stephen Covey uses the Maturity Continuum to offer his ideas on success. Your chances multiply when you build a strong foundation marked by a sound character ethic, as opposed to a personality ethic based on outward traits. That is the hallmark of success.

To inculcate a habit, you need to know what goes into building one. Being proactive is the first routine to develop, says Stephen Covey. Learn about the Circle of Concern that you have no control over and the Circle of Influence that is under your power.

Habit 1: Successful people make a habit of focusing attention on the things they can influence, rather than what they can't. You may not be able to control a situation, but you can control your reaction and how you deal with it.

Visualize how you want others to perceive you. With that goal in mind, work towards building a character that matches your vision. The second habit tells you to reflect on the consequences before acting and move with that result in sight.

Habit 2: Picture the future you want then plan and work towards it. Live every day as a contribution towards that vision.

Prioritize! This one word sums up the third habit of successful people. Think of one positive change that you would like to effect in each - your personal and professional life. This four-step matrix will light your way.

Habit 3: Consider your single most important personal and professional priorities. Your other priorities should stem from these; organize and execute around them.

Opt for the win-win paradigm as a fourth habit. There are five points to embrace before you set out. From dependence to independence and finally, to interdependence, the journey is well-mapped in this episode.

Habit 4: At its core, a win-win approach is based on trust, an agreed-upon set of outcomes, and acceptance of those outcomes. Ultimately, everyone involved should benefit from the outcome.

Listening well with the intention of understanding is the first step to grasping the fifth habit. Very few pay attention when others speak and that is why developing Empathetic Listening is so crucial. It also makes the other person as interested in your views.

Habit 5: Seek First To Understand, Then To Be Understood

Habit 5: Active listening is critical to productive relations. If you listen with the intent to understand, you will engender openness and trust and this will lead to a better outcome.

Stephen Covey's sixth habit is all about synergy. He explains how to achieve this creative process, with four keys, as you interact with a diverse group to create a whole.

Habit 6: Synergy involves balancing individual differences to create new paradigms of thought and action. Experts working together yield better results than the same experts working independently.

Find time to hone your skills and get the tools ready, that's the crux of the seventh habit you need to imbibe on the road to success. Set the four dimensions of renewal in motion and you are bound to see sustainable changes in your moral makeup.

Habit 7: Your habits will be most effective if you take time for self-care and renewal. As you work on each habit, your experience with these habits will then deepen.

If you have an entrepreneurial mindset and are itching to build a new innovative business, Brian Ahearn, principal at thoughtLEADERS, LLC, will help you kick-start your journey. This series is all about creating a successful business by distilling down practical ideas from Business Model Generation by Alexander Osterwalder and Yves Pigneur. After finishing the series, you will be able to devise your own game-changing business model, understand your customer needs, and build strategies to outweigh the competition.

Business Model Generation By Alexander Osterwalder And Yves Pigneur

How do people create business models that help them be constantly ahead of the competition? After watching these modules, you will be able to employ the toolkit laid out by Alexander Osterwalder and Yves Pigneur to understand your consumer, find your business model pattern, and create a framework to build a successful business.

In this video, you will learn about the nine building blocks that make up a successful business model. You will be able to determine what products or services your business plans to sell and define their identified target market.

Putting down and considering each building block for your enterprise helps provide clarity into working of the company and helps you lay out its competitive advantage.

Authors Alexander Osterwalder and Yves Pigneur encourage drawing up a visual representation of your business model.  After watching this video, you can draw up a visual graphic describing your organization’s value proposition, resources, customers, and finances.

Your business model canvas helps visualize the most important elements that will make up or improve your business and make you stand out amongst the competition.

Your value proposition is what differentiates your company from others and offers your customers value for money. After watching this episode, you will be able to determine how to price your product and what aspect of your product gives you a competitive edge.

Getting absolute clarity about your value proposition is key. Otherwise, your business is no different from the crowd and will not stand out.

V = WIG / P. This is not some complex equation but a formula for value. Value equals What I Get divided by Price. After watching this video, you will be able to state clearly state what your customer will get as a value by choosing your product or service.

Scarcity is the psychological concept that describes the human tendency to want something rare. See how you can make your product or service seem scarce to build its value.

Defining your ideal customer is a key element of building a winning business model. This video explains how do you change your prospective customer to a current customer using the right advertising, marketing, and sales strategies.

By understanding what your customer really wants and values, you can build relationships and leverage opportunities that have hitherto not been tapped.

After watching this video, you will be able to figure out how to bring new customers on board. You will also be able to devise a plan to retain them and ensure you can make the most by upselling to them.

Upselling plays a big role in growing a business. Most of the time it costs much less to sell to a current client compared to bringing in new ones.

The authors categorize five similar business models based on behaviors, characteristics, or building blocks. After watching this video, you will be able to match your business pattern to the right model and help you focus on aspects of that pattern that are most critical for your success.

Understanding which pattern makes the best for your business model helps your business decisions. This helps you understand what aspect of the business model you should focus on.

This video shows how to run some thought experiments to recognize your business model pattern. By the end of this video, you will be able to recognize your pattern and determine what to focus on to expand your business.

Your business success does not need to be based on a single product. What matters is choosing the right aspect of the enterprise to focus on to set up and run a winning business.

Design is about applying design thinking to create your business model, products, and service. This video discusses six key design approaches. After watching this video, you will be able to ideate and visualize your business model in action. You can also create prototypes and weave a story about the future.

It helps to design business scenarios in order to envision business model changes when they are laid out in real-world settings.

This episode details how to apply the customer insight approach to design and define your business model. At the end of this video, you will be able to perceive what your customer hope to gain and what their pain points are.

Applying Design Principles To Your Business

It is important to observe what your customers say and do as actions reveal a lot about what people truly believe.

Osterwalder and Pigneur point to four forces that continuously shape the business model environment. This video lays down why it is key to continuously evolve your business model along with market conditions, industry considerations, trends, and macroeconomics.

You must consider the business model environment carefully as technology is driving a very rapid change to the competitive landscape. The best of businesses can fail if they do not evolve strategically.

Market shifts tend to impact every business. This video will push you to question how to build your strategy during shifting conditions. By the end of the video, you will be able to assess the impact of changing market environment on your business and explore opportunities.

While nobody can predict the future, assessing your strategy relative to the market you’re competing in is important. It can help identify threats and opportunities for your business from emerging market trends.

This episode will help you understand the arduous five-phase process of designing a business model. After finishing this video, you will be able to formulate your project objectives and assemble a team. You will also be able to determine when to stop the design process and start putting your plan into action.

Let go of preconceived notions of how things have been done in the past when designing your model. Remember ground-breaking business models require innovative approaches.

After watching this video, you will be able to know what your competition is doing differently. You can also assess what changes might you implement to strengthen your company’s brand image.

Consider change carefully. Ask yourself if it really aligns with your mission and will help grow your business or could it end up appearing inconsistent with your brand image.

Know more about the author of a Chinese tome that has survived two and a half millennia and continues to be pertinent. Sun Tzu's book, written well before modern warfare technology and tactics came into force, finds application in the business world today.

A SWOT analysis is the first strategy you can learn from Sun Tzu. Find out how Japanese company Komatsu outwitted US giant Caterpillar with the 'Know yourself and your enemy' maxim.

Know your own strengths and weaknesses as well as your competitors'. Learn from their success and existing challenges and find potential opportunities for yourself.

What inspires loyalty and unwavering devotion towards the job? Treating your human resources like you would your favorite son, says Sun Tzu. Take the example of Steve Jobs and how he nurtured his team at Apple.

To inspire loyalty, treat your people like your own family. When your employees trust and believe in you, they will be more committed, dependable and consistent.

The general is to blame if the command is not clear, believes Sun Tzu. If you are the one sending out the directive, make sure your language, tone and non-verbal cues are in tune with the message. The onus of clarity lies with the sender, not the receiver.

Responsibility for successful communication lies with the sender. It requires planning across the four key components: the sender, medium, environment, and receiver.

Sun Tzu advocates a do-or-die attitude on the battlefield, where the only option should be winning. Modern management principles can apply a similar strategy but sometimes it is better to be prepared with a plan B while maintaining a strong front.

Your Plan B can be prudent or a burden. For focus and efficiency, you may want to sometimes go forward with total commitment, as if Plan A were the only option.

You have to be a master of deception to fool competition. Sun Tzu suggests having a few tricks up the sleeves to make competitors constantly look over their shoulders trying to guess your next move and thus fall foul of their game.

Deception can help gain market advantages. It involves convincing your competition that you're pursuing one strategy, only to pursue another.

What management lesson can the boa constrictor deliver? Plenty, according to Sun Tzu. Then there are many other varieties such as the Chinese shuai-jan that can teach different tactics of the art of corporate warfare.

All parts of a company must be ready to defend each other from competitors' attacks. To do so, each part must understand how the others operate.

Find innovative ways of disrupting the mundane, with it one can achieve great heights despite the glitches and general chaos in the world. The impact that the flutter of a butterfly's wings can cause is used as an allegory for change. Are you up for it?

Business often involves finding ways to make small improvements towards bigger gains. Look for ways to combine existing assets to improve processes and customer offerings.

Sometimes it is smarter to not go to war, says Sun Tzu. Surprised? No, he is not asking you to put your weapons down, instead, he wants you to be better prepared to outwit the enemy, in your case, the competitor in a way that makes war redundant.

The best way to build markets is through creativity and preparation, not direct aggression. Ultimately, aggressive competition is bad for customers, and without customers, there is no business.

Data Science is shaping the business world like never before, and demand for data scientists has never been higher. In this course, data scientist and Python trainer Lavanya Vijayan shares the fundamentals of Data Science and what sets it apart from other information-driven techniques. Lavanya then breaks down the components of Data Science, covering workflow and toolsets such as programming languages and specialized resources like Jupyter Notebooks. Lavanya centers on techniques like exploratory data analysis, data cleaning, and data visualization. She also explores the topics of sampling, testing, and classification. Through this course you'll be prepared to execute basic data analysis and reporting, opening up the opportunities to further your career in this increasingly relevant field.

Introduction To Data Science By Lavanya Vijayan

In this course, data scientist and Python trainer Lavanya Vijayan shares the fundamentals of Data Science and what sets it apart from other information-driven techniques.

Introduction - Beginning Your Data Science Exploration

Data Science is rapidly increasing in popularity and demand and is a valuable skill whether you're pursuing it as a career or using the principles in your existing job. After watching this video you'll know what data science is.

Data Science can be used across numerous fields and offers important benefits to the world around us. After watching this video you'll be able to explain the value of data science.

Data scientists follow a specific workflow. After watching this video you'll be able to describe the data science life cycle is and the main goal of each stage.

Data design, the process of data collection, is important in data science. After watching this video you'll know how sampling reduces bias in data design.

Two of the most popular computing languages for data science are currently Python and R. After watching this video you'll know the key differences between them.

Before you dive in, you will need to set up your environment. If you are not familiar with Jupyter, this is a great opportunity to familiarize yourself with this powerful platform. After watching this video you'll be able to setup Jupyter on your computer.

Computational Tools - Setup Environment: Jupyter

Datasets can be structured in many ways. Datasets that have tabular structure are easier to work with. After watching this video you'll be able to interact with tabular data.

Once you have access to a dataset, you will need to interact with it to find out how you can use this data to draw conclusions or solve a problem. After watching this video you'll be able to read in tabular data with Python.

After watching this video you'll be able to start gathering insights from your dataset. Tabular data manipulation and drawing conclusions from data is a crucial component of data science.

The goal of data science is to identify and answer specific questions. After watching this video you'll be able to evaluate what questions you want to answer and what types of questions are ideal for your scenario.

Tabular Data - Answering Specific Questions

Conducting exploratory data analysis (EDA) is the next crucial stage in the data science life cycle. After watching this video you'll be able to explain the definition of EDA.

Statistical data types are at the core of most data science operations. These include numerical and categorical data. After watching this video you'll know these different data types.

Exploratory Data Analysis - Statistical Data Types

EDA involves determining the key properties of the data you have. After watching this video you'll be able to use the different properties of data in your next analysis.

Exploratory Data Analysis - Properties Of Data

Data cleaning is a crucial stage in the data science life cycle. After watching this video you'll know what data cleaning is and how it is used.

It is important to understand how the data was generated before cleaning it. After watching this video, you will know the main questions to ask before cleaning.

After determining the granularity, scope, temporality, and faithfulness of your data, it is important to understand the relationships among your data. After watching this video you'll know what data visualization is and how it's used in data science.

After watching this video you'll be ready to visualize qualitative data and describe the difference between qualitative and quantitative. Different types of visualization correspond to different types of data.

Data Visualization - Visualize Qualitative Data

Different types of visualization correspond to different types of data. After watching this video you'll be prepared to visualize quantitative data.

Data Visualization - Visualize Quantitative Data

Inference is also an integral part of the last stage in the data science life cycle. After watching this video you'll be able to describe what inference is and how it's used.

As you expand your data science skill set, you'll be ready to tackle hypothesis testing. After watching this video you'll know what a hypothesis test is, how it is used, and how to set one up.

As you expand your data science skill set, you'll be ready to tackle permutation testing. After watching this video you'll know what a permutation test is, how it is used, and how to set one up.

Oftentimes in data science we look to answer questions using the data that we have available. After watching this video you'll be able to solve complex questions by bootstrapping your confidence interval.

Inference - Bootstrap A Confidence Interval

Classification is an important machine learning technique. After watching this video you'll be able to describe classification and explain how it is used.

k-NN or k-Nearest Neighbor is a common Data Science algorithm. After watching this video you'll know what the k-Nearest Neighbor algorithm is and how to use it to classify data.

Classification - Intro To K-Nearest Neighbor Algorithm

Find out how to practice and hone your data science skills in this video.

Conclusion - Getting Started With Data Science

“Be the best version of yourself.” How often have you heard this advice, but were unsure what to do about it? Thought leader Rob Salafia explains how to take charge of your learning by building self-confidence, developing personal connections, and carving out a professional presence that's commanding, authentic, and effective. The simple yet powerful action plan laid out in these videos, will show you how to develop presence and poise, tell compelling stories, and create long-lasting impressions.

Leading From Your Best Self By Rob Salafia

A sign of a great leader is their authenticity or ability to stay true to themselves. Executive coach Rob Salafia offers bespoke exercises and techniques, designed to help you find the leadership style that works best for you. Stay tuned to unlock your best self.

We all can be extraordinary. But how do you find that extraordinary self? Salfia explains how to call upon the trust in oneself and act with confidence, in this episode.

To discover your best self, consider the times you were most engaged and bring that confidence to present pursuits. You can also use 360-degree feedback to highlight specific times when you showed up as your best self.

All of us have admired people who display grace and poise under pressure – wishing we could present ourselves in the same way. This video shows how to widen your awareness, build relationships and stay grounded without losing your authenticity.

In times of stress, use conscious breathing patterns to maintain your calm, poise, and authenticity. In managing relationships and conflict, be aware of how others are thinking and feeling.

You need to give an important presentation. How do you engage, and entertain, and connect with your audience? Learn how to recognize and use your physical and vocal presence in all situations to establish your executive presence, in this episode.

Developing Our Physical And Vocal Presence

Executive presence begins with an awareness of how your energy, body, voice, and emotions work together to communicate messages. To expand physical presence, be open with your energy, arms, and face and use your voice to build power and resonance.

When transitioning roles, especially from a contributor to a leader understand the significance of the new role. From a know-it-all expert, you need to turn into a facilitator and coach who draws your expertise from the team. Learn why authenticity will help you in this transition and endear you to your team.

Transitioning to a leadership role requires internal and external shifts. You must become more authentic, learning to be honest with yourself and to relate to others with a deeper understanding.

Human beings thrive on stories. Stories make thing relatable and memorable. They define you and your vision for your team. Learn how to become a master storyteller using Salfia’s proven techniques, in this video.

Storytelling is a powerful leadership tool. Use stories to communicate important messages as well as build culture and relationships.

The most critical aspect that defines a good leader is their ability to influence. Understand the sources of influence and power within organizations and gain practical tips on how to cultivate your presence to be able to influence and lead change.

Influence derives from a combination of presence, empathy, and language. Practice these three dimensions to create greater momentum in your organization.

Presentations need to be more than a monologue of facts and data. Any leader must understand that their audience expects their opinions and personality to reflect in a presentation. This video explains how to make your presentation effective and engaging.

Leadership requires public speaking. When presenting, express a point of view in a conversational tone and let your audience know why this information is important.

In this course, Rob Salafia, a principal at thoughtLEADERS, LLC, will share an approach for launching your own small business with minimal investment. He will draw insights from the book The $100 Startup by Chris Guillebeau. You will learn how to provide true value to customers, identify who your ideal customers are, craft a compelling offer, and promote and grow your business.

Starting your own business can occur at the intersection of what you’re passionate about, what you’re good at, and what people will pay for. This course will provide you with the fundamental approaches for defining your business, your market, and how you provide value. Rob Salafia will explain how to define your value in a way that resonates with customers and helps your business grow.

The fundamentals of building a micro-business are a product, a market, a passion, and some skills that you can apply to the business world. After watching this video, you will be able to identify where these three components intersect and a business could exist.

Building your business requires you to make a connection between your skill, your passion, and a market need or pain point. If you can do that, you’ve got the makings of a viable business. After watching this video, you will understand how to identify where these three components intersect for you.

Your business idea should give customers something they want or solve a problem for them in a convenient way. After watching this video, you will understand how to look at value from a customer’s perspective.

Creating a connection for your customers between your product’s features and how those features make them feel will help you clearly articulate your business’ value. After watching this video, you will be able to differentiate between the features of your product and the benefits it provides.

The better you know who your ideal customer is, the better the chances are that you can build a product or service that truly meets their needs. After watching this video, you will have several techniques you can apply to better understand your ideal customer.

Leading From Your Best Self By Rob Salafia

Leading From Your Best Self By Rob Salafia

Leading From Your Best Self By Rob Salafia

Episodes

1. Demonstrating Executive Presence

2. Discovering Our Best Self

3. The Art Of Landing And Expanding

4. Developing Our Physical And Vocal Presence

5. The Art Of Transitioning

6. The Art Of Storytelling

7. The Art Of Influence

8. Making Great Presentations