5 hours of professional course for everyone who wants to learn essentials of data analysis and visualization in Excel and become an Advanced Excel User. Join to over 5,000 students and unlock the power of Excel to utilize its analytical tools — no matter your experience level. Master advanced Excel formulas and tools from Vlookup to Pivot Tables, create graphs and visualizations that can summarize critical business insights, and utilize Data Analysis ToolPak for descriptive and regression analysis. Gain a competitive advantage in the job market. WHY WOULD YOU CHOOSE TO LEARN EXCEL? Excel is one of the most widely used solutions for analyzing and visualizing data. Excel in itself can do so much for your career. It's just one program but it's the one hiring managers are interested in. Advanced Microsoft Excel skills can get you a promotion and make you a rock star at your company. WHY TAKE THIS SPECIFIC EXCEL COURSE? This course is concentrated on the most important tools for performing data analysis on the job. In this course you'll play the role of data analyst at a delivery company and you'll be working with real-life data sets. You don't need to spend weeks and months to learn Excel. As you go through the course, you'll be able to apply what you learnt immediately to your job. Author of this course has over 10 years of working experience in large financial organizations and over 5 years of experience of online and in-person trainings. He has dozens of courses on Excel, SQL, Power BI, Access, and more than 20,000 students in total. Surely he knows what you need. HERE WHY THIS COURSE IS ONE OF THE BEST COURSES ON UDEMY: ★★★★★ Rashed Al Naamani Probably this is one of the best course I have done for Excel ...instructor pace is very good and clearly explain each tool in details. Thumbs up? ★★★★★ Sonika Sharma EXCELLENT WORK!! REAL EXPERIENCE WITH REAL DATA SIMULTANEOUSLY WHILE LEARNING. GREAT!!! GREAT!!! GREAT!!!! GREAT!!! ★★★★★ Vardan Danielyan Very detailed, extremely well explained, useful information and tricks. Excel is great for organizing and presenting data, and this course has everything you might need to work with Excel, and learn all nuances. Totally recommend! ★★★★★ Urs Fehr The structure of this course is very well done with high quality information, and rounded off with how to put the theory into practice with practical examples. This instructor has gone onto my favorites list. Thanks a lot. WHAT ARE SOME EXCEL TOOLS AND FUNCTIONS YOU WILL LEARN IN THIS COURSE? You'll learn: · How to clean and prepare data by Sort, Filter, Find, Replace, Remove Duplicates, and Text to Columns tools. · How to use drop-down lists in Excel and add Data Validation to the cells. · How to best navigate large data and large spreadsheets. · How to Protect your Excel files and worksheets properly. · The most useful Excel functions like SUBTOTAL, SUMIF, COUNTIF, IF, OR, PMT, RATE, MEDIAN and many more. · How to write advanced Excel formulas by VLOOKUP, INDEX, MATCH functions. · How to convert raw Excel data into information you can use to create reports on. · Excel Pivot Tables so you can quickly get insights from your data. · Excel charts that go beyond Column and Bar charts. You'll learn how to create Combo charts, Histogram, Scatter Plot, Speedometer charts and more. · How to create interactive dashboards in Excel by using Slicer and Pivot Charts. · How to activate and use Data Analysis ToolPak for advanced statistical analysis. · Work in Excel faster by using hot key shortcuts. · Make homework and solve quizzes along the way to test your new Excel skills. WHAT ABOUT CERTIFICATE? DO YOU PROVIDE A CERTIFICATE? Upon completion of the course, you will be able to download a Certificate of completion with your name on it. Then, you can upload this certificate on LinkedIn and show potential employers this is a skill you possess. So, what are you waiting for? Join today and get immediate, lifetime access to the following: · 5+ hours on-demand video · Downloadable project files · Practical exercises & quizzes · 1-on-1 expert support · Course Q&A forum · 30-day money-back guarantee · Digital Certificate of Completion See you in there! Sincerely, Vardges Zardaryan P.S. Looking to master the full Microsoft Excel, Power BI + SQL stack? Search for "Vardges Zardaryan" and complete the courses below to become a Data Analysis Rock Star: 1. Mastering Data Analysis in Excel 2. Power BI: From Zero to Hero 3. Data Analyst’s Toolbox: Excel to MySQL 4. The Complete Introduction to SQL for Data Analytics

Are you ready to kickstart your career in Data Analytics ? Need more knowledge in Tableau, Data Visualization and Analytics? This course is for YOU. In this course you will build 5 separate dashboards depicting real world problems. You will learn how to connect to various data sources from Excel files to cloud servers. You will also learn how to build interactive dashboards and publish it to Tableau Online! You will master the skills to become a good Data Analyst and build a solid foundation in understanding the data pipeline. In this course you will learn: Create 5 interactive dashboards and publish it online to share Learn how to connect to different data sources such as Excel, Google Sheets and Cloud Servers. Create a variety of charts including bar charts, line charts, donut charts, maps, tables and dual axis charts. Create calculated fields including developing IF Statements. Create sets, hierarchies and groups. Understanding how joins work. Understand Level Of Detail calculations. Create Parameters Make use of the analytics pane including using trend lines How to use dashboard actions and create interactive dashboards. Creating a dashboard which updates daily via google sheets. By the time you complete this course, you'll be a highly proficient Tableau user and use all the learning from to course to enhance your career in Data and Analytics. Projects you will work on: Discount Mart: Discount Mart is a small supermarket.The owner wants a dashboard where he can track how well Discount Mart is doing for this year (in terms of Sales, Profit and Quantity Sold). Green Destinations: Green Destinations is a well known travel agency. The HR Director has recently noticed an increase in employees leaving (attrition). She would like to figure out any trends or patterns based on a dashboard we will be building for her. Super Store: Superstore is a famous retailer in Canada. They have expanded into the USA and their business model involves placing Sales Agents in every state in the USA. These sales agents are responsible for bringing in sales for the state that they are assigned. The Sales Manager wants a dashboard to track how Sales Agents are doing. Northwind Trade: Northwind Trade is a company which ships a variety of FMCG (Fast Moving Consumer Goods) all over the world. The Shipping Manager doesn't have much visibility and doesn't know how many orders are processed and shipped on a monthly basis. He would like a dashboard of this where he selects a month and can tell how many orders are outstanding a day and where they should be shipped. Tesla: Tesla is an American electric vehicle and clean energy company. An important shareholder is tired of receiving only monthly updates of the stock price. The shareholder would like to see any trends of the stock price specifically for the last 3 months. He also wants this data to be updated daily.

Improve your Data Analytic skills. Use advanced charts to create clear Interactive Dashboards. Let your users interact with your Dashboards for better insights of the Data. Color tips so all users can work with your Dashboards, also Colorblind users. Practice in real-time with the tool, they offer a 1-month free trial account to students of this course. Sign up to get started.

Student Testimonials: The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. - Diana This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality - with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I'm actually surprised at how well done this is. I don't give many 5 stars, but this has earned it so far. - Michael This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! - James Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world! Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include: installing sorting filtering grouping aggregating de-duplicating pivoting munging deleting merging visualizing and more! Why learn pandas? If you've spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you! Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language. Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets -- analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more! I call it "Excel on steroids"! Over the course of more than 19 hours, I'll take you step-by-step through Pandas, from installation to visualization! We'll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We'll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package. Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas! Whether you're a new data analyst or have spent years (*cough* too long *cough*) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!

November, 2019. Get marketable and highly sought after skills in this course that will increase your knowledge of data analytics, with a focus on descriptive statistics, an important tool for understanding trends in data and making important business decisions. Enroll now to join the more than 2000 students and get instant access to all course content! Whether a student or professional in the field, learn the important basics of both descriptive statistics and IBM SPSS so that you can perform data analyses and start using descriptive statistics effectively. By monitoring and analyzing data correctly, you can make the best decisions to excel in your work as well as increase profits and outperform your competition. This beginner's course offers easy to understand step-by-step instructions on how to make the most of IBM SPSS for data analysis. Make Better Business Decisions with SPSS Data Analysis Create, Copy, and Apply Value Labels Insert, Move, Modify, Sort, and Delete Variables Create Charts and Graphs Measure Central Tendency, Variability, z-Scores, Normal Distribution, and Correlation Interpret and Use Data Easily and Effectively with IBM SPSS IBM SPSS is a software program designed for analyzing data. You can use it to perform every aspect of the analytical process, including planning, data collection, analysis, reporting, and deployment. This introductory course will show you how to use SPSS to run analyses, enter and code values, and interpret data correctly so you can make valid predictions about what strategies will make your organization successful. Contents and Overview This course begins with an introduction to IBM SPSS. It covers all of the basics so that even beginners will feel at ease and quickly progress. You'll tackle creating value labels, manipulating variables, modifying default options, and more. Once ready, you'll move on to learn how to create charts and graphs, such as histograms, stem and leaf plots, and more. You'll be able to clearly organize and read data that you've collected. Then you'll master central tendency, which includes finding the mean, median, and mode. You'll also learn how to measure the standard deviation and variance, as well as how to find the z-score. The course ends with introductory statistics video lectures that dive deeper into graphs, central tendency, normal distribution, variability, and z-scores. Upon completion of this course, you'll be ready to apply what you've learned to excel in your statistics classes and make smarter business decisions. You'll be able to use the many features in SPSS to gather and interpret data more effectively, as well as plan strategies that will yield the best results as well as the highest profit margins.

The Problem Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that? Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming) Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture The Solution Data science is a multidisciplinary field. It encompasses a wide range of topics. Understanding of the data science field and the type of analysis carried out Mathematics Statistics Python Applying advanced statistical techniques in Python Data Visualization Machine Learning Deep Learning Each of these topics builds on the previous ones. And you risk getting lost along the way if you don’t acquire these skills in the right order. For example, one would struggle in the application of Machine Learning techniques before understanding the underlying Mathematics. Or, it can be overwhelming to study regression analysis in Python before knowing what a regression is. So, in an effort to create the most effective, time-efficient, and structured data science training available online, we created The Data Science Course 2021. We believe this is the first training program that solves the biggest challenge to entering the data science field – having all the necessary resources in one place. Moreover, our focus is to teach topics that flow smoothly and complement each other. The course teaches you everything you need to know to become a data scientist at a fraction of the cost of traditional programs (not to mention the amount of time you will save). The Skills 1. Intro to Data and Data Science Big data, business intelligence, business analytics, machine learning and artificial intelligence. We know these buzzwords belong to the field of data science but what do they all mean? Why learn it? As a candidate data scientist, you must understand the ins and outs of each of these areas and recognise the appropriate approach to solving a problem. This ‘Intro to data and data science’ will give you a comprehensive look at all these buzzwords and where they fit in the realm of data science. 2. Mathematics Learning the tools is the first step to doing data science. You must first see the big picture to then examine the parts in detail. We take a detailed look specifically at calculus and linear algebra as they are the subfields data science relies on. Why learn it? Calculus and linear algebra are essential for programming in data science. If you want to understand advanced machine learning algorithms, then you need these skills in your arsenal. 3. Statistics You need to think like a scientist before you can become a scientist. Statistics trains your mind to frame problems as hypotheses and gives you techniques to test these hypotheses, just like a scientist. Why learn it? This course doesn’t just give you the tools you need but teaches you how to use them. Statistics trains you to think like a scientist. 4. Python Python is a relatively new programming language and, unlike R, it is a general-purpose programming language. You can do anything with it! Web applications, computer games and data science are among many of its capabilities. That’s why, in a short space of time, it has managed to disrupt many disciplines. Extremely powerful libraries have been developed to enable data manipulation, transformation, and visualisation. Where Python really shines however, is when it deals with machine and deep learning. Why learn it? When it comes to developing, implementing, and deploying machine learning models through powerful frameworks such as scikit-learn, TensorFlow, etc, Python is a must have programming language. 5. Tableau Data scientists don’t just need to deal with data and solve data driven problems. They also need to convince company executives of the right decisions to make. These executives may not be well versed in data science, so the data scientist must but be able to present and visualise the data’s story in a way they will understand. That’s where Tableau comes in – and we will help you become an expert story teller using the leading visualisation software in business intelligence and data science. Why learn it? A data scientist relies on business intelligence tools like Tableau to communicate complex results to non-technical decision makers. 6. Advanced Statistics Regressions, clustering, and factor analysis are all disciplines that were invented before machine learning. However, now these statistical methods are all performed through machine learning to provide predictions with unparalleled accuracy. This section will look at these techniques in detail. Why learn it? Data science is all about predictive modelling and you can become an expert in these methods through this ‘advance statistics’ section. 7. Machine Learning The final part of the program and what every section has been leading up to is deep learning. Being able to employ machine and deep learning in their work is what often separates a data scientist from a data analyst. This section covers all common machine learning techniques and deep learning methods with TensorFlow. Why learn it? Machine learning is everywhere. Companies like Facebook, Google, and Amazon have been using machines that can learn on their own for years. Now is the time for you to control the machines. ***What you get*** A $1250 data science training program Active Q&A support All the knowledge to get hired as a data scientist A community of data science learners A certificate of completion Access to future updates Solve real-life business cases that will get you the job You will become a data scientist from scratch We are happy to offer an unconditional 30-day money back in full guarantee. No risk for you. The content of the course is excellent, and this is a no-brainer for us, as we are certain you will love it. Why wait? Every day is a missed opportunity. Click the “Buy Now” button and become a part of our data scientist program today.

PLEASE READ BEFORE ENROLLING: 1.) THERE IS AN UPDATED VERSION OF THIS COURSE: "PYTHON FOR DATA SCIENCE AND MACHINE LEARNING BOOTCAMP" 2.) IF YOU ARE A COMPLETE BEGINNER IN PYTHON-CHECK OUT MY OTHER COURSE "COMPLETE PYTHON MASTERCLASS JOURNEY"! CLICK ON MY PROFILE TO FIND IT. (PLEASE WATCH THE FIRST PROMO VIDEO ON THIS PAGE FOR MORE INFO) ********************************************************************************************************** This course will give you the resources to learn python and effectively use it analyze and visualize data! Start your career in Data Science! You'll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data. You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers! By the end of this course you will: - Have an understanding of how to program in Python. - Know how to create and manipulate arrays using numpy and Python. - Know how to use pandas to create and analyze data sets. - Know how to use matplotlib and seaborn libraries to create beautiful data visualization. - Have an amazing portfolio of example python data analysis projects! - Have an understanding of Machine Learning and SciKit Learn! With 100+ lectures and over 20 hours of information and more than 100 example python code notebooks, you will be excellently prepared for a future in data science!

This is an introductory course designed to help business professionals and others learn predictive analytic skills that can be applied in a business setting. Since it is designed for business professionals it doesn't delve too deeply into the mathematics of the statistical models. We do the following case studies on Rapidminer software: B2B Churn of an office supply distributor, Market Basket Analysis of a retail computer store, Customer Segmentation of a customer database and Direct Marketing. The following models are used: Linear Regression, Logistic Regression, Association Rules, K-means Clustering and Decision Trees. Through these practical case studies we generate actionable business insights!

Data analysis is critical in business. Get ahead in your career with this important skill. Management depends on decision making and problem solving.   They depend on analytical findings. Not only do we need good sources of data, but we need skills that allow us to interpret and report the results. Discover techniques and best practices for analysis by learning the analytical process.

This course helps you learn simple but powerful ways to work with data. It is designed to be help people with limited statistical or programming skills quickly become productive in an increasingly digitized workplace. In this course you will use R (an open-sourced, easy to use data mining tool) and practice with real life data-sets. We focus on the application and provide you with plenty of support material for your long term learning. It also includes a project that you can attempt when you feel confident in the skills you learn.