This course help you have skill on data analysis and visualization to start your job on data science and data analysis. You will learn following skill in this course : Loading data Overview on data Selecting data Sorting data Filter data Aggregation function Groupby Apply Merge Visualization Saving data Clean up Rename column Drop column Handle missing data Handle duplicate data Modify data Time series Convert column to date time Select time series data Resampling Hand on with Google App data set Hand on with Ted Talk data set Hand on with Fifa19 data set Take this course and start your first step on data science , data analysis adventure.

Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. Text data are unique in that they are usually generated directly by humans rather than a computer system or sensors, and are thus especially valuable for discovering knowledge about people’s opinions and preferences, in addition to many other kinds of knowledge that we encode in text. This course will cover search engine technologies, which play an important role in any data mining applications involving text data for two reasons. First, while the raw data may be large for any particular problem, it is often a relatively small subset of the data that are relevant, and a search engine is an essential tool for quickly discovering a small subset of relevant text data in a large text collection. Second, search engines are needed to help analysts interpret any patterns discovered in the data by allowing them to examine the relevant original text data to make sense of any discovered pattern. You will learn the basic concepts, principles, and the major techniques in text retrieval, which is the underlying science of search engines.

Data Analysts aim to discover how data can be used to answer questions and solve problems through the use of technology. Many believe this will be the job of the future and be the single most important skill a job application can have in 2020. In the last two decades, the pervasiveness of the internet and interconnected devices has exponentially increased the data we produce. The amount of data available to us is Overwhelming and Unprecedented. Obtaining, transforming and gaining valuable insights from this data is fast becoming the most valuable and in-demand skill in the 21st century. In this course, you'll learn how to use Data, Analytics, Statistics, Probability, and basic Data Science to give an edge in your career and everyday life. Being able to see through the noise within data, and explain it to others will make you invaluable in any career. We will examine over 2 dozen real-world data sets and show how to obtain meaningful insights. We will take you on one of the most up-to-date and comprehensive learning paths using modern-day tools like Python, Google Colab and Google Data Studio. You'll learn how to create awesome Dashboards, tell stories with Data and Visualizations, make Predictions, Analyze experiments and more! Our learning path to becoming a fully-fledged Data Analyst includes: The Importance of Data Analytics Python Crash Course Data Manipulations and Wrangling with Pandas Probability and Statistics Hypothesis Testing Data Visualization Geospatial Data Visualization Story Telling with Data Google Data Studio Dashboard Design - Complete Course Machine Learning - Supervised Learning Machine Learning - Unsupervised Learning (Clustering) Practical Analytical Case Studies Google Data Studio Dashboard & Visualization Project: Executive Sales Dashboard (Google Data Studio) Python, Pandas & Data Analytics and Data Science Case Studies: Health Care Analytics & Diabetes Prediction Africa Economic, Banking & Systematic Crisis Data Election Poll Analytics Indian Election 2009 vs 2014 Supply-Chain for Shipping Data Analytics Brent Oil Prices Analytics Olympics Analysis - The Greatest Olympians Home Advantage Analysis in Basketball and Soccer IPL Cricket Data Analytics Predicting the Soccer World Cup Pizza Resturant Analytics Bar and Pub Analytics Retail Product Sales Analytics Customer Clustering Marketing Analytics - What Drives Ad Performance Text Analytics - Airline Tweets (Word Clusters) Customer Lifetime Values Time Series Forecasting - Demand/Sales Forecast Airbnb Sydney Exploratory Data Analysis A/B Testing

See why this is one of the TOP-RATED Excel courses on Udemy: "One of the best Excel courses I've ever taken. You can see through his videos how passionate he is about Excel. Thanks for this awesome course, and count me in for the next ones!" -Julio Garcia "This is an exceptionally valuable course. The information is vital with examples of best practices from a true Excel expert. Chris Dutton can teach!" -Barbara S. "Chris Dutton is an EXPERT in Excel. He makes comprehensible to the student the complex (sometimes super-complex) nature of the formulas he uses. Everything that is written at the course description, although it may seem pure marketing and publicity at first glance, is indeed true. If I could rate it higher I definitively would. THANKS Chris!" -Bruno Ricardo Silva Pinho __________ FULL COURSE DESCRIPTION: __________ It's time to show Excel who's boss. Whether you're starting from square one or aspiring to become an absolute Excel power user, you've come to the right place. This course will give you a deep understanding of the advanced Excel formulas and functions that transform Excel from a basic spreadsheet program into a dynamic and powerful analytics tool. While most Excel courses focus on simply what each formula does, I teach through hands-on, contextual examples designed to showcase why these formulas are awesome and how they can be applied in a number of ways. I will not train you to regurgitate functions and formula syntax; I will teach you how to THINK like Excel. __________ By the end of the course you'll be writing robust, elegant formulas and functions from scratch, allowing you to: Easily build dynamic tools & Excel dashboards to filter, display and analyze your data Go rogue and design your own formula-based Excel formatting rules Join datasets from multiple sources with Excel's LOOKUP, INDEX & MATCH functions Pull real-time data from APIs directly into Excel (weather, stock quotes, directions, etc.) Manipulate dates, times, text, and arrays Automate tedious and time-consuming tasks using cell formulas and functions in Excel (no VBA required!) __________ We'll dive into a broad range of Excel formulas & functions, including: Lookup/Reference functions Statistical functions Formula-based formatting Date & Time functions Logical operators Array formulas Text functions INDIRECT & HYPERLINK Web scraping with WEBSERVICE & FILTERXML __________ What gives you the right to teach this class? Can't I just Google this stuff? I have a genuine passion for Excel that most people reserve for things like kittens, ice cream, and significant others. The only thing I love more than learning Excel is teaching it, and as the founder of Excel Maven and Maven Analytics I've been lucky enough to teach Excel to 200,000+ students across 180+ countries . My teaching style is conversational, authentic and to the point, and I will always communicate complex concepts in a framework that is clear and easy to comprehend. As a full-time analytics consultant and Excel instructor, I cut my teeth using Excel to solve real-world business problems and develop award-winning analytics & data visualization tools for Fortune 500 companies. If you care about creds, I'm a card-carrying MOS Certified Excel Expert and my work has been featured by Microsoft and the New York Times. Ok so I don't actually carry the card, but you get the idea. If you're looking for the ONE course with all of the advanced Excel formulas and functions that you need to know to become an absolute Excel ninja, you've found it. See you in there! -Chris ( Founder, Maven Analytics ) __________ Looking for the full business intelligence stack? Search for " Maven Analytics " to browse our full course library, including Excel, Power BI, MySQL , and Tableau courses! *NOTE: Full course includes downloadable resources and Excel project files , homework and course quizzes , lifetime access and a 30-day money-back guarantee . Most lectures compatible with Excel 2007, Excel 2010, Excel 2013, Excel 2016, Excel 2019 or Office 365.

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.

Challenges are multifarious. Overwhelming nos. of transactions, loss of conventional (paper) audit trail, system based controls, ever increasing and complex compliance requirements are amongst the prime reasons why traditional methods of collecting and evaluating evidence (like vouching and verification) are no longer adequate. The auditor can no longer treat Information Systems as a ‘Black Box’ and audit around it. His methods and techniques have to change. This change is what the world calls today, ‘Assurance Analytics’ i.e. data analysis from an ‘audit perspective’. Using advance features of MS Excel, the auditor can access client’s data from their databases and analyse it to discharge the onerous duty cast on him. Since over 15 years, CA Nikunj Shah has been perfecting these techniques of ‘assurance analytics’. These include digital analysis techniques like Benford’s Law, Relative Size Factor Theory (RSF) and Pareto’s 80-20 rule that have enabled auditors and forensic investigators to identify control failures and over rides, detect non-compliance with laws, zero down on questionable transactions and identify red flags lost in millions of transactions. It is like quickly finding the needle in a hay stack!! In this unique course, your favourite instructor shall share the best of his research, auditing and training experience. The participants shall learn, step-by-step, the nuts-and-bolts details of using advance features of Microsoft® Excel coupled with the instructor’s insights to apply them in real-world audit situations. Each section shall equip participants with assurance analytic techniques using real-world examples and learn-by-doing exercises.