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Mastering Segmenting and Positioning in Marketing: A Comprehensive Guide for Success Introduction In the dynamic field of marketing, mastering segmentation and positioning is crucial to developing effective strategies that resonate with target audiences. Whether you are a student navigating complex assignments or a professional refining your skills, understanding the nuances of these concepts is essential. Segmenting Positioning Assignment Help can provide you with the guidance needed to enhance your knowledge and tackle challenging tasks with confidence. Understanding Market Segmentation Market segmentation is the process of dividing a broad consumer or business market into sub-groups based on shared characteristics. These groups could be divided by demographics, psychographics, behavior, or geographic location. The objective is to tailor marketing strategies that cater specifically to each segment, ensuring more targeted and effective communication. Segmentation plays a vital role in helping marketers understand the different needs of various customer groups. By identifying these unique traits, businesses can allocate resources more efficiently, create products that meet customer demands, and develop messaging that resonates with a particular audience. For students, mastering the principles of segmentation is essential for excelling in marketing courses. When tackling your assignments, it’s important to grasp the four main types of market segmentation: Demographic Segmentation: Based on variables like age, gender, income, education, and occupation. Psychographic Segmentation: Focuses on psychological aspects such as lifestyle, values, and personality traits. Behavioral Segmentation: Involves grouping consumers based on behavior patterns like purchase history, brand loyalty, or usage rates. Geographic Segmentation: Divides markets based on location, such as country, region, or city. Acquiring a solid understanding of these categories can give you the edge needed to excel in marketing. However, if you’re finding it difficult to put these theories into practice, Segmenting Positioning Assignment Help can provide the expert guidance required to succeed. The Importance of Positioning in Marketing Strategy Positioning is the next critical step after segmentation. Once a company has identified its market segments, it must determine how to position its products or services within those segments. Effective positioning means that a company’s offerings are clearly differentiated from competitors in the minds of consumers. There are three main approaches to positioning: Competitive Positioning: Emphasizes how a product stands against competitors. Product Feature Positioning: Highlights specific features or benefits that appeal to the target market. Price-Based Positioning: Focuses on offering value through price differentiation, often targeting budget-conscious consumers. Understanding these positioning strategies is critical to creating a strong brand identity. In marketing assignments, you’ll often be asked to develop a positioning strategy that fits with a company’s overall marketing goals and customer expectations. Struggling with positioning concepts? Segmenting Positioning Assignment Help can offer you the in-depth knowledge and practical advice needed to navigate these assignments successfully. How to Apply Segmenting and Positioning in Real-World Marketing Applying segmentation and positioning in the real world goes beyond theory. It requires critical thinking, creativity, and analytical skills to develop a marketing strategy that truly speaks to the target audience. Here’s how you can apply these concepts effectively: Conduct Thorough Market Research: Understanding your target audience through research is the foundation of both segmentation and positioning. Use surveys, interviews, and data analysis to gather insights into consumer behavior and preferences. Identify Key Customer Segments: Based on your research, identify the segments that are most likely to be interested in your product or service. Tailor your marketing efforts to these groups for maximum impact. Develop a Clear Positioning Statement: Craft a message that clearly communicates the unique benefits of your offering. Ensure that it differentiates your product from competitors and resonates with the target segment. Consistently Communicate Your Positioning: Your positioning should be reflected in all aspects of your marketing, from advertising to customer service. Consistency is key to building brand loyalty and trust. Completing assignments that require you to apply these real-world skills can be challenging. Segmenting Positioning Assignment Help can assist you in crafting well-researched and structured assignments that demonstrate a clear understanding of these concepts. The Role of Segmentation and Positioning in Digital Marketing With the rise of digital marketing, segmentation and positioning have become more sophisticated. Online platforms provide marketers with vast amounts of data, enabling them to create more refined segments and develop highly targeted campaigns. Whether through social media, email marketing, or pay-per-click advertising, businesses can now reach specific audiences with laser precision. For students studying digital marketing, it’s crucial to understand how segmentation and positioning are applied in this context. Some key areas to focus on include: Targeted Advertising: Platforms like Google Ads and Facebook allow businesses to target ads based on demographics, interests, behaviors, and locations. This enables more efficient use of marketing budgets and improves conversion rates. Personalization: Modern consumers expect personalized experiences. By segmenting audiences and positioning products effectively, marketers can deliver tailored messages that resonate on an individual level. Data-Driven Decisions: Analytics tools provide valuable insights into consumer behavior, allowing businesses to refine their segmentation and positioning strategies over time. Understanding these digital marketing applications can give you a competitive edge in your assignments. If you need further guidance, Segmenting Positioning Assignment Help is available to offer tailored support for your digital marketing studies. How Segmenting and Positioning Lead to Business Success Businesses that master segmentation and positioning often outperform their competitors. By targeting the right audience with the right message, they can increase customer engagement, build brand loyalty, and drive sales. Some of the key benefits include: Improved Customer Satisfaction: When companies understand the unique needs of their target segments, they can deliver products and services that meet those needs more effectively. Increased Market Share: Positioning a brand as the best solution for a particular market segment can lead to a larger market share and greater profitability. Enhanced Brand Perception: A well-positioned brand is seen as more credible and reliable by consumers, helping to build long-term customer relationships. For students, understanding these benefits is essential for crafting successful marketing strategies in your coursework. If you’re finding it difficult to connect these concepts with real-world business outcomes, Segmenting Positioning Assignment Help can guide you through the process. Conclusion Segmenting and positioning are foundational concepts in marketing that can significantly impact business success. By breaking down broad markets into smaller, more manageable segments and crafting positioning strategies that resonate with those segments, companies can develop highly effective marketing campaigns. If you’re working on assignments that require you to analyze these concepts, don’t hesitate to seek support. Segmenting Positioning Assignment Help is designed to give you the expertise and confidence you need to ace your assignments and build a strong foundation for your future career in marketing.

Discover how to conquer your assignment deadlines with ease. Packed with valuable tips and strategies, this article explores the importance of effective deadline management for busy students. Learn how to prioritise tasks, plan your schedule wisely, and utilise assignment help services to achieve academic success.

When it comes to writing a research paper, the discussion chapter is where the magic happens. It's not just about presenting your findings; it's about showcasing them in a way that resonates with your audience. You want to take your readers on a journey through your research, helping them understand not just the results but their significance as well. In this article, I’ll share some essential tips on how to effectively showcase your research in the discussion chapter, ensuring that your hard work gets the recognition it deserves. Understanding the Discussion Chapter Definition and Role So, what exactly is the discussion chapter? Think of it as the heart of your research paper. Here, you interpret and analyze your results, linking them back to your research questions. It’s the section where you reveal the implications of your findings and discuss their relevance in the broader context of your field. If you’re wondering how to navigate this crucial part, check out our guide on How To Write a Dissertation Discussion for a detailed approach. Differences from Other Chapters Unlike the results chapter, which focuses on presenting data, the discussion is where you dive deeper into what those results mean. It’s about connecting the dots and making sense of the numbers. You’re not just stating what you found; you’re telling a story about why it matters. Structuring Your Discussion Organizing Key Points A well-structured discussion is crucial for effectively showcasing your research. Start by organizing your key points logically. This might mean discussing each research question in turn or grouping findings by theme. Whatever structure you choose, ensure it flows naturally from one point to the next. Using Subheadings Don’t underestimate the power of subheadings. They guide your reader through your discussion, making it easier to follow your train of thought. Subheadings also break up the text, making your discussion more visually appealing. Interpreting Your Findings Analyzing Results Now comes the fun part: interpreting your findings. Take a close look at your results and analyze them thoroughly. What trends do you see? Are there any surprising outcomes? This is your chance to showcase your critical thinking skills and provide insights that go beyond the data. Linking to Research Questions Always link your interpretations back to your research questions. This creates a cohesive narrative and reinforces the significance of your work. By showing how your findings answer these questions, you strengthen your argument and highlight the relevance of your research. Contextualizing Your Research Comparing with Previous Studies To truly showcase your research, it’s essential to place it within the context of existing literature. Compare your findings with previous studies and discuss how they align or diverge. This not only shows your understanding of the field but also underscores the contributions your research makes to the ongoing conversation. Highlighting Unique Contributions Don’t be shy about highlighting what makes your research unique. What new perspectives or insights do you bring to the table? By emphasizing these contributions, you demonstrate the value of your work and why it deserves attention. Discussing Implications Practical Applications What can your findings be used for in the real world? Discussing practical applications is a great way to showcase the impact of your research. Whether it’s informing policy decisions, guiding future research, or improving practices in your field, make sure to highlight these implications. Theoretical Implications In addition to practical applications, consider the theoretical implications of your research. How does it contribute to existing theories or frameworks? Discussing these implications can elevate your work and showcase your understanding of the broader context. Addressing Limitations Acknowledging Weaknesses Every research project has its limitations. Acknowledging these weaknesses shows integrity and a nuanced understanding of your work. Discuss what limitations might affect the interpretation of your results and how they could be addressed in future research. Suggestions for Future Research Don’t just stop at acknowledging limitations—offer suggestions for future research. What questions remain unanswered? What directions could future studies take? This not only demonstrates your critical thinking but also positions your work as a stepping stone for others. Using Visual Aids Charts and Graphs Visual aids can be a powerful tool for showcasing your research. Use charts, graphs, or tables to present your data in a way that’s easy to understand. Visuals can help highlight key findings and make complex information more digestible. Effective Data Presentation Ensure that your visuals are clear and well-labeled. A confusing graph can detract from your discussion rather than enhance it. Take the time to present your data effectively, and your readers will appreciate the effort. Incorporating Feedback Utilizing Peer Reviews Feedback from peers can be invaluable when writing your discussion chapter. Don’t hesitate to seek out input from colleagues or mentors. Their insights can help you refine your arguments and enhance the clarity of your writing. Adjustments Based on Critiques Once you receive feedback, be open to making adjustments. Sometimes, outside perspectives can reveal blind spots in your reasoning or highlight areas for improvement that you might not have considered. Engaging Your Audience Writing Style and Tone Your writing style plays a significant role in engaging your audience. Aim for a conversational tone that invites readers in. Avoid jargon where possible, and strive for clarity in your explanations. Rhetorical Questions for Engagement Using rhetorical questions can be an effective way to engage your readers. It prompts them to think critically about the points you’re making and can make your discussion feel more interactive. Proofreading and Editing Importance of Clarity Once you’ve drafted your discussion, take the time to proofread and edit. Clarity is key; a well-written discussion is much easier to follow. Check for grammatical errors, awkward phrasing, and ensure your arguments flow logically. Common Mistakes to Avoid Watch out for common pitfalls, such as over-explaining or being too vague. Aim for a balance that conveys your insights without overwhelming your reader. Conclusion In conclusion, showcasing your research in the discussion chapter is all about clarity, context, and engagement. By structuring your discussion thoughtfully, interpreting your findings, and addressing limitations, you can effectively communicate the significance of your research. Remember, this is your chance to shine and demonstrate the value of your hard work. FAQs What is the purpose of the discussion chapter? The discussion chapter interprets the results of your research, linking them back to your research questions and placing them in the context of existing literature. How do I interpret my findings effectively? Analyze your results, identify trends, and connect them back to your research questions to demonstrate their significance. Should I include limitations in my research? Yes, acknowledging limitations shows integrity and a nuanced understanding of your work. It also opens up avenues for future research. How can I make my discussion engaging? Use a conversational tone, incorporate rhetorical questions, and structure your arguments clearly to keep your audience interested. What are common pitfalls to avoid in this chapter? Be cautious of over-explaining, using jargon, or failing to connect your findings back to your research questions.

Conflict is a word that conjures up many emotions. It is something that most people would prefer to avoid, if possible. Work can be an emotive place. Positive relationships can make your life at work exciting, motivating and challenging, whilst relationships that do not hold value to you could make your life very difficult and stressful, especially if there is conflict between you and your manager. This course is essential for people who want to understand where conflict can be used to positive effect and how to manage conflict in your working relationships and see it as something positive that can stimulate the environment. Research has shown that relationships at work are an extremely high motivational factor, and for a lot of people it has a higher importance that salary! Therefore, it is essential that we invest in relationships and search out new ways to make them better in order to have a more positive influence on our surroundings. By understanding why other people are in conflict we can manage the conversation a lot better, with outcomes managed more effectively so the 'conflict' will add value to the organisation. This participative event will cover a wide variety of exercises and personal stories, and leave course participants with a clear strategy to identify when they are in conflict with someone and how they will structure their approach to get to a satisfactory outcome. This is a workshop that targets anyone where conflict needs to be managed and cannot seem to resolve it, whether internally or externally. At the end of the day, participants will: Know their key relationships and the strength of those relationships Complete the Strengths Deployment Inventory (SDI) to identify where you deploy your strengths Understand what is important to you and your key stakeholders Know how motivational value systems can influence behaviour Tailor your communication style to match that of your opposite party Know conflict strategies to resolve conflict in others Learn to be more assertive when challenging Achieve key personal, departmental and organisational objectives 1 Where are you now? How effective are your current working relationships? Can I work effectively without the input from others? Who do you need to be a success? 2 The Strengths Deployment Inventory (SDI) Completion of the SDI questionnaire An understanding of the theory A 'trip around the triangle' Predicting relationship interaction Your scores and what they mean in your relationships 3 Conflict theory What is conflict? The 3 flags of conflict What are your conflict triggers? Your conflict scores plotted The conflict sequence 4 Conflict resolution strategies Early warning signs Most productive behaviours Least productive behaviours Preventable / unwarranted conflict Review of the dynamic triangle Review of the day, personal learning and action planning

Introduction Making a great first impression can be a game-changer, and your self-introduction plays a crucial role in this. It’s not just about stating who you are but presenting yourself in a way that captures attention and fosters connections. Whether you're stepping into a job interview or mingling at a party, a well-structured self-introduction can make all the difference. Understanding Your Audience Identifying Your Audience Before you craft your introduction, it's essential to understand who you're speaking to. Are you addressing colleagues in a corporate setting, potential clients, or new acquaintances at a social event? Knowing your audience helps tailor your message to their interests and expectations. Tailoring Your Message to the Audience Different audiences require different approaches. For a professional audience, focus on your career achievements and skills. For a social setting, you might emphasize hobbies or personal interests. Adapting your message ensures relevance and keeps your audience engaged. Crafting Your Introduction Key Elements of a Self-Introduction A solid introduction typically includes: Name and Current Role: Start with who you are and what you do. This sets the context for your audience. Relevant Background Information: Share a bit about your background that adds value to the conversation. Unique Selling Points: Highlight what makes you unique or what you bring to the table. Structuring Your Introduction for Clarity Organize your introduction in a logical flow. Start with your name, move on to your current role, share relevant background information, and end with your unique selling points. This structure ensures your introduction is clear and impactful. The Power of a Strong Opening Creating a Memorable Hook Capture your audience's attention right from the start. Use a compelling hook, such as an intriguing fact about yourself, a brief anecdote, or a relevant quote. A strong opening piques curiosity and draws your audience in. Using Anecdotes or Quotes Incorporating a brief story or a quote can make your introduction more engaging and memorable. Choose anecdotes that reflect your personality or achievements, and quotes that resonate with your message. Building Your Narrative Crafting a Compelling Story People connect with stories. Weave a narrative around your experiences, challenges, and successes. This approach makes your introduction more relatable and interesting. Highlighting Achievements and Experiences Focus on significant achievements and experiences that align with the context of your introduction. This helps establish credibility and shows what you bring to the table. Keeping It Concise Importance of Brevity While it’s tempting to share every detail, brevity is key. Aim for a concise introduction that covers the essentials without overwhelming your audience. A brief, well-crafted introduction is often more effective than a lengthy one. Techniques for Staying on Point To stay on point, practice your introduction and focus on the most relevant information. Avoid tangents and ensure every part of your introduction adds value. Engaging with Your Audience Asking Questions Engage your audience by asking questions or inviting them to share their thoughts. This interaction not only makes your introduction more engaging but also fosters a two-way conversation. Inviting Interaction Encourage dialogue by showing interest in your audience’s responses or reactions. This approach helps build connections and makes your introduction more dynamic. Non-Verbal Communication Body Language Tips Non-verbal cues play a significant role in communication. Maintain good posture, use open gestures, and avoid crossing your arms. Your body language should complement your verbal introduction. The Role of Eye Contact Maintaining eye contact shows confidence and helps build trust with your audience. It demonstrates engagement and sincerity in your introduction. Tailoring Your Introduction for Different Settings Professional Settings In professional settings, focus on your career achievements, skills, and professional interests. Be formal and concise, and ensure your introduction aligns with the context of the meeting or event. Social Gatherings For social gatherings, highlight personal interests, hobbies, or interesting facts about yourself. This helps create a friendly atmosphere and fosters personal connections. Virtual Introductions In virtual settings, ensure your introduction is clear and engaging despite the lack of physical presence. Use visual aids if possible, and maintain a positive and professional tone. Practicing Your Delivery Rehearsing Your Introduction Practice your introduction to build confidence and ensure smooth delivery. Rehearse in front of a mirror or with friends to refine your approach and timing. Adapting to Feedback Be open to feedback and adjust your introduction based on what resonates best with your audience. Continuous improvement helps keep your introduction fresh and effective. Common Mistakes to Avoid Overloading with Information Avoid overwhelming your audience with too much information. Focus on key points and keep your introduction relevant to the context. Being Too Vague or Generic Generic introductions can be forgettable. Be specific and highlight unique aspects of your background or achievements to stand out. Using Visual Aids Enhancing Your Introduction with Slides or Props In some settings, visual aids can enhance your introduction. Use slides or props to highlight key points or add visual interest. Ensure they support your message without overshadowing it. When and How to Use Visual Aids Effectively Only use visual aids when they add value to your introduction. Keep them simple and relevant, and practice using them smoothly in your delivery. The Role of Confidence Building Self-Confidence Confidence can be built through practice and preparation. Know your material, rehearse regularly, and adopt a positive mindset to boost your confidence. Projecting Confidence Through Speech Your tone, pace, and clarity of speech reflect your confidence. Speak clearly, at a steady pace, and with enthusiasm to convey confidence effectively. Feedback and Improvement Seeking Constructive Feedback Request feedback from trusted friends or colleagues to gain insights into how your introduction is received. Use this feedback to make improvements. Continuously Refining Your Introduction Refine your introduction based on feedback and personal experiences. Regular updates ensure your introduction remains relevant and impactful. Conclusion Crafting a powerful self-introduction is both an art and a skill. By understanding your audience, structuring your message clearly, and practicing your delivery, you can make a memorable first impression. Remember to tailor your introduction for different settings, engage with your audience, and continually refine your approach. With these strategies, you'll be well-equipped to introduce yourself effectively in any situation. FAQs 1. What should be included in a professional self-introduction? Include your name, current role, key achievements, and relevant skills. Tailor it to the context of the professional setting. 2. How long should my self-introduction be? Aim for 30-60 seconds. It should be concise yet comprehensive enough to convey your key points. 3. How can I make my introduction more engaging? Use a memorable hook, incorporate personal anecdotes, and engage your audience with questions or interactive elements. 4. What are common mistakes to avoid in a self-introduction? Avoid being too vague, overloading with information, or appearing uninterested. Focus on relevance and clarity. 5. How can I improve my self-introduction over time? Seek feedback, practice regularly, and refine your introduction based on experiences and audience reactions.

Duration 5 Days 30 CPD hours This course is intended for This course is for support staff for AIX on POWER systems Overview After completing this course, you should be able to: - Distinguish Korn and bash shell specific features - Use utilities such as sed and awk to manipulate data - Understand system shell scripts such as /etc/shutdown - Write useful shell scripts to aid system administration This course will teach you how to use shell scripts and utilities for practical system administration of AIX (or other UNIX) operating systems. Basic shell conceptsFlow control in a shell ScriptFunctions and typesetShell features such as arithmetic and string handlingUsing regular expressionsUsing sed, awk and other AIX utilities

Duration 1 Days 6 CPD hours This course is intended for This seminar is intended for individuals who want to gain intermediate knowledge of Sales. Overview Upon successful completion of this seminar, guests will gain intermediate knowledge of Sales Leadership and learning resource availability. In this seminar, guests will obtain knowledge in Sales Leadership, leveraging New Horizons' Leadership and Professional Development Program. Sales Leadership Session Sales Leadership Topics

Are your sales people too stressed, running on adrenalin, perhaps driving towards burnout, struggling to reach targets? Wouldn't you rather they delivered consistently good performance, sustainable over longer periods of time, with less stress (for both them and you)? This uniquely empowering workshop will help your team develop naturally high levels of focus, energy and motivation. They will attain a sense of grounded euphoria, giving them a very distinct and ethical edge in selling. A one-day programme, it gives salespeople an introduction to the 'Natural Superheroes' concepts and resources, tools and techniques, to help them improve their sales performance - realising greater sales potential, developing deeper and more profitable client relationships, winning more business. Through this experience, sales teams gain: Information about profiling clients to instantly understand more about their deepest drives and true needs so they can be genuinely met and, where possible, exceeded Insights into deep, honest and very 'real' reasons for sales procrastination - participants are given specific workable strategies they can easily apply to overcome sales resistance, by tapping their natural motivational styles An understanding of communicating at the very highest levels with different people so they truly understand your sales message and have a significantly more positive sales experience A realisation of their very specific natural sales talents as individuals and as a team A deeper level of experience and understanding of what specifically drives their own behaviour and the behaviour of their clients - these unique insights explain not only how but exactly why people behave the way they do An experience of what it takes to be unshakeable under pressure and manage the sales processes and relationships to a positive outcome for all Brand-new insights into working with and handling difficult people across all levels of authority An understanding of the pitfalls and the psychological traps we set ourselves which cause unnecessary stress, anxiety and frustration on a daily basis and, in turn, limit our sales performance Access to very simple and practical tools that massively increase self-awareness, engender accountability and responsibility and develop emotional sales mastery 1 Introducing 'Natural Superheroes' for sales What is a 'Natural Superhero'? Defining emotional intelligence in the context of sales and why it is so important Knowing yourself - why most people don't know themselves at all and how we can understand exactly what drives our behaviour for the purpose of improving sales performance specifically Knowing exactly why others, and specifically clients and team members, behave the way they do - understanding the real motives behind people's good and bad behaviour in a sales meeting Simple steps to freeing yourself of any anxiety, pressure and false sense of limitation when selling Being yourself in sales - why this is not as easy as it sounds but how you can make it effortless How to take control of achieving the sales performance you really need and want for yourself and others Strategies that raise your self-awareness, increase an authentic and sustainable sense of self-confidence, in difficult situations and in moments of crisis 2 Understanding yourself, your team members and your customers - using the Enneagram Introducing the Enneagram and why it is so valuable to sales people and their clients Exploring the 9 types of motivational drives and why people have different reasons for buying from you Core types and wings - understanding the influence of other motivations either side of the core Enneagram type How to confirm the profile of your client - using celebrities from the world of politics, cinema, sports - we explore how to identify each type - what are their core drives, why have they arisen and how can we use these insights to help you in improving your sales performance The 3 levels of behaviour within your personal profile and that of your clients Lookalike Enneagram types - mistaken identities - how to avoid these traps when profiling your clients and your team How to communicate effectively in a sales environment with each of the different Enneagram types - communication strategies for positive impact on morale, performance and, ultimately, sales results How to interpret and make use of the results of your online personal profile - participants complete an online profile before the event and have the opportunity to analyse their results with a view to improving their sales performance How sales teams sabotage their own performance and that of other people within the team - and how to stop it Uncovering your particular edge in a sales role - what unconsciously trips you up as a sales person? How the Enneagram helps us in sustaining a truly great sales performance over time 3 Why positive thinking alone doesn't work in sales Why 'PMA' does not stand for positive mental attitude when selling - learn its alternative meaning that can serve you even more effectively in a sales role 3 steps and exercises that naturally increase PMA The value of making unconscious thinking conscious and how to do this without any pain or discomfort in a sales meeting Why each Enneagram type has a different experience of PMA in terms of their outward behaviour and how to know when you are maximising your sales performance 4 Measuring success How to measure the development of your individual profile as a sales person Development planning and review Into the future - how to continue your Natural Superhero development

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.