|Course or Certification Name||Category||Location||Mode of learning|
|Data Analysis and Presentation Skills: the PwC Approach Specialization||Data Analysis||Online self study|
|Data Analysis with Pandas and Python||Data Analysis||Online self study|
|Data Analysis with R by Facebook||Data Analysis||Online self study|
|R for Data Analysis||Data Analysis||Online self study|
|Microsoft Excel - Data Analysis with Excel Pivot Tables||MS Office||Online self study|
|Data Analysis for Trading in Shares and Commodity Market||Stock Trading & Technical Analysis||Online self study|
|Data Analysis for Healthcare Management||Data Analysis||Classroom|
|Data Analytics in Health â€“ From Basics to Business||Data Analysis||Online self study|
|Bayesian Statistics: From Concept to Data Analysis||Data Analysis||Online self study|
|Taming Big Data with Apache Spark 3 and Python - Hands On!||Data Science||Online self study|
|The Python Mega Course: Build 10 Real World Applications||Data Analysis||Online self study|
|Intro to Data Analysis||Data Science||Online self study|
|Microsoft Power BI - Up & Running With Power BI Desktop||ERP||Online self study|
|Python Certification Training for Data Science||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Getting and Cleaning Data||Data Analysis||Online self study|
This Specialization will help you get practical with data analysis, turning business intelligence into real-world outcomes. We'll explore how a combination of better understanding, filtering, and application of data can help you solve problems faster - leading to smarter and more effective decision-making. You will learn how to use Microsoft Excel, PowerPoint, and other common data analysis and communication tools, and perhaps most importantly, we'll help you to present data to others in a way that gets them engaged in your story and motivated to act.
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: installingsortin gfilteringgroupingaggregatingde-duplicatingpivotingmungingdeletingmergingvisualizing 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 P andas and Python introduces you to the popular P andas 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!
Exploratory data analysis is an approach for summarizing and visualizing the important characteristics of a data set. Promoted byÂ John Tukey, exploratory data analysis focuses on exploring data to understand the dataâ€™s underlying structure and variables, to develop intuition about the data set, to consider how that data set came into existence, and to decide how it can be investigated with more formal statistical methods.
This free online R for Data Analysis course will get you started with the R computer programming language. In this course, you will learn how the data analysis tool, the R programming language, was developed in the early 90s by Ross Ihaka and Robert Gentleman at the University of Auckland, and has been improving ever since. You will also learn about how data analysis systematically evaluates data using analytical and logical reasoning, and more!
Hear why this is one of the TOP-RATED Excel courses on Udemy, and the #1 Excel Pivot Table course: "This is a great Excel course. You can feel confident putting these skills on your resume, and the lectures are in-depth and easy to follow. I would highly recommend this course to anyone who wants to not just LEARN Excel Pivot Tables, but become a true Pivot Table EXPERT " -Monique C. "Chris provides clear, detailed explanations and shows how to use Excel Pivot Tables to extract hidden details and facts using raw, real-life data sets in Excel. The quizzes and homework reinforce the lessons and the course layout makes it easy to go back to sections that need revision. This course is exactly what I was looking for to master Excel Pivot Tables. Thanks, Chris!" -Paul M. "One of the very best Excel classes I've taken - great instructor, awesome production, very comprehensive and exceptionally useful. I have added other Excel and Pivot Table courses from Chris & Maven Analytics and look forward to viewing them as well." -Ernie A. __________ FULL COURSE DESCRIPTION: Excel Pivot Tables are an absolutely essential tool for anyone working with data in Excel. Pivots allow you to quickly explore and analyze raw data in Excel, revealing powerful insights and trends otherwise buried in the noise. In other words, they give you answers . Whether you're exploring product sales, analyzing which marketing tactics drove the strongest conversion rates, or wondering how condo prices have trended over the past 10 years, Excel Pivot Tables provide fast , accurate and intuitive solutions to even the most complicated analytics questions. This course gives you a deep, 100% comprehensive understanding of Excel Pivot Tables and Excel Pivot Charts. I'll show you when, why, and how to use Excel Pivot Tables, introduce advanced sorting, filtering, and calculation tools, and guide you through interactive, hands-on demos and Excel exercises every step of the way. __________ We'll start by covering everything you need to know to get up and running with Excel Pivot Tables, including: Raw data structure in Excel Pivot Table layouts & styles Design & formatting options Sorting, filtering, & grouping tools Calculated fields, items & values Pivot Charts, slicers & timelines Interactive Excel dashboards __________ We'll then explore and analyze Excel datasets from a number of real-world case studies , including: San Diego burrito ratings Shark attack records from 1900-2016 Facebook Post data from Spartan Race Major League Baseball team statistics San Francisco employee salaries Daily stock market data IMDb movie ratings Apple Store mobile app ratings Wine ratings and descriptions __________ Whether you're looking for a quick Excel Pivot Table primer, trying to diversify your Excel skill set, or hoping to step up your analytics game in a major way, you've come to the right place . In today's increasingly data-driven world, analytics skills are in short supply and incredibly high demand, and those with the ability to transform data into insight are leading the charge. Enroll today and start your journey to becoming an Excel analytics pro! See you there! -Chris ( Founder, Excel Maven & Maven Analytics ) __________ NOTE: This Excel course includes downloadable resources and Excel project files , homework and course quizzes , lifetime access and a 30-day money-back guarantee (compatible with Excel 2007, Excel 2010, Excel 2013, Excel 2016, Excel 2019, or Office 365) __________ P. S. Looking to master the full Excel + Power BI stack? Complete the path below and emerge an analytics ROCKSTAR: Excel Pro Tips for Power Users Advanced Excel Formulas & Functions Data Visualization with Excel Charts & Graphs Data Analysis with Excel Pivot Tables Excel Power Query, Power Pivot & DAX Up & Running with Power BI Desktop Publishing to Power BI Service Course access includes Excel project files, quizzes & homework exercises, 1-on-1 instructor support, LIFETIME access and a 100% money-back guarantee!
Best Course for traders and technical analyst to make their calls or traders more profitable and successful. Data analysis is the best tool or study to improve or accuracy in generating calls or tips in equity and commodity market
The objective of this programme is to provide an in-depth understanding of concepts and techniques useful for analysis of healthcare data for effective healthcare management.
Many people talk about the promise of â€œbig dataâ€ to health care. But how can the application of data analytics to big data actually improve health and health care? We will show that novel data analytics based solutions can result in better diagnosis, better care and better curing. This provides fertile ground for entrepreneurship and the development of new businesses.
This course introduces the Bayesian approach to statistics, starting with the concept of probability and moving to the analysis of data. We will learn about the philosophy of the Bayesian approach as well as how to implement it for common types of data. We will compare the Bayesian approach to the more commonly-taught Frequentist approach, and see some of the benefits of the Bayesian approach. In particular, the Bayesian approach allows for better accounting of uncertainty, results that have more intuitive and interpretable meaning, and more explicit statements of assumptions. This course combines lecture videos, computer demonstrations, readings, exercises, and discussion boards to create an active learning experience. For computing, you have the choice of using Microsoft Excel or the open-source, freely available statistical package R, with equivalent content for both options. The lectures provide some of the basic mathematical development as well as explanations of philosophy and interpretation. Completion of this course will give you an understanding of the concepts of the Bayesian approach, understanding the key differences between Bayesian and Frequentist approaches, and the ability to do basic data analyses.
New! Updated for Spark 3 and with a hands-on structured streaming example. Big data" analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark . Employers including Amazon , EBay , NASA JPL , and Yahoo all use Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You'll learn those same techniques, using your own Windows system right at home. It's easier than you might think. Learn and master the art of framing data analysis problems as Spark problems through over 15 hands-on examples, and then scale them up to run on cloud computing services in this course. You'll be learning from an ex-engineer and senior manager from Amazon and IMDb. Learn the concepts of Spark's Resilient Distributed Datastores Develop and run Spark jobs quickly using Python Translate complex analysis problems into iterative or multi-stage Spark scripts Scale up to larger data sets using Amazon's Elastic MapReduce service Understand how Hadoop YARN distributes Spark across computing clusters Learn about other Spark technologies, like Spark SQL, Spark Streaming, and GraphX By the end of this course, you'll be running code that analyzes gigabytes worth of information in the cloud in a matter of minutes. This course uses the familiar Python programming language ; if you'd rather use Scala to get the best performance out of Spark, see my "Apache Spark with Scala - Hands On with Big Data" course instead. We'll have some fun along the way. You'll get warmed up with some simple examples of using Spark to analyze movie ratings data and text in a book. Once you've got the basics under your belt, we'll move to some more complex and interesting tasks. We'll use a million movie ratings to find movies that are similar to each other, and you might even discover some new movies you might like in the process! We'll analyze a social graph of superheroes, and learn who the most popular" superhero is and develop a system to find degrees of separation" between superheroes. Are all Marvel superheroes within a few degrees of being connected to The Incredible Hulk? You'll find the answer. This course is very hands-on; you'll spend most of your time following along with the instructor as we write, analyze, and run real code together both on your own system, and in the cloud using Amazon's Elastic MapReduce service. 5 hours of video content is included, with over 15 real examples of increasing complexity you can build, run and study yourself. Move through them at your own pace, on your own schedule. The course wraps up with an overview of other Spark-based technologies, including Spark SQL, Spark Streaming, and GraphX. Wrangling big data with Apache Spark is an important skill in today's technical world. Enroll now! " I studied "Taming Big Data with Apache Spark and Python" with Frank Kane, and helped me build a great platform for Big Data as a Service for my company. I recommend the course! " - Cleuton Sampaio De Melo Jr.
The Python Mega Course is the most practical course you will find on the web today. So far, over 140,000 students have used the course to learn Python programming and to build real-world applications in Python 3. You will learn how to build Python apps during this course, even if you know nothing about programming. You will start from scratch and progressively build up your skills by creating some awesome Python programs ranging from webcam object detection apps, to data collector web apps that query data from SQL databases, to data visualization dashboards on the browser. The course has it all to make you an all-round Python programmer that not only knows Python but also the technologies you need to know to create professional applications. The course follows a modern-teaching approach where students learn by doing . You will start Python from scratch by creating simple programs first. Once you learn the basics, you will then start with the fun part, which is building 10 real-world applications. You will code the apps, guided step-by-step by easy video explanations and continuous support from the course instructor. The applications you will build in the course consist of database apps , web apps , desktop apps , web scraping scripts , webcam object detectors , web maps , data visualization dashboards , and more. These programs are not only great examples to help master Python, but you can also use them for your portfolio. By buying the course you will gain lifetime access to all of its videos, coding exercises, quizzes, code notebooks, cheat sheets, and the Q&A inside the course, where you can ask your questions and get an answer on the same day. On top of that, you are covered by the Udemy 30-day money-back guarantee , so you can easily return the course if you don't like it. If you don't know anything about Python, do not worry! In the first 12 sections, you will learn Python basics such as functions, loops, and conditionals and learn how to apply the basics by doing some examples. If you already know the basics, then the first 12 sections can serve as a refresher. The other 20 sections focus entirely on building real-world applications. The applications you will build cover a wide range of interesting topics: Web applications Desktop applications Database applications Web scraping Web mapping Data analysis Data visualization Computer vision Object-Oriented Programming Specifically, the 10 Python applications you will build are: A program that returns English-word definitions A program that blocks access to distracting websites A web map visualizing volcanoes and population data A portfolio website A desktop-graphical program with a database backend A webcam motion detector A web scraper of real estate data An interactive web graph A database web application A web service that converts addresses to geographic coordinates To consider yourself a professional programmer you need to know how to write professional programs and there's no other course that teaches you that, so join thousands of other students who have successfully applied their Python skills in the real world. Sign up and start learning the amazing Python programming language today! Frequently Asked Questions Will I be able to learn Python and find a job after completing this course? I have heard of quite a few success stories where students have rigorously followed the course and have found a job afterwards. However, whether you will be able to learn Python and be job-ready, heavily depends on you. If you merely watch the videos, without trying anything on your own, you will hardly learn anything. Instead, you have to try the code you see in the videos on your computer, change the code, run it, improve it further, run it again, fix the possible errors, try making a similar app, repeat, ask questions in the Q&A when you get stuck, and try to solve all the exercises in the course. That way you will certainly learn how to program with Python and be able to find a job. How much time will I need to complete the course? That depends on two factors: (1) Your background: Someone coming from a math or computer science background may be able to complete the course in a shorter time compared to someone coming from a social science background for example. (2) The effort you put in: If you just watch the videos, you may finish the course in two days. However, simply watching the videos is not enough. You need to experiment with the code you see in the videos. The more you experiment with it the better you become. Depending on the two factors I mentioned above, students spend from one week to three months to complete the course, most spending one month. I don't know anything about programming. Will I still be able to learn Python? This course assumes you have no previous knowledge of programming. Whenever a programming term is mentioned (e. G. a variable) the meaning of the term is explained thoroughly so you not only understand how to use that particular term in Python, you also understand what that term means in programming. Will I get support if I get stuck? Yes. Feel free to drop a question in the Q&A, and me, or my teaching assistant, will answer your questions within the same day. Does this course cover Python 2 or Python 3? Python 3 What IDE/editor is used in the course? Visual Studio Code is used in the course. It is very new and probably the best IDE that exists today. However, you can use your favorite IDE. The code will work the same, no matter the IDE. Does the course expire? No. Once you buy the course it's yours. I update the content regularly and all the updates are also included for free in the one-time purchase you make.
This course will introduce you to the world of data analysis. You'll learn how to go through the entire data analysis process, which includes: | Posing a question | Wrangling your data into a format you can use and fixing any problems with it | Exploring the data, finding patterns in it, and building your intuition about it | Drawing conclusions and/or making predictions | Communicating your findings
NOTE: This is PART 1 of a 2-Part Microsoft Power BI series: Up & Running with Power BI Desktop Publishing to Power BI Service Don't forget to complete PART 2 to learn Power BI Service and take your Power BI skills to the cloud! __________ Hear why this is one of the TOP-RATED Power BI courses on Udemy: "Instructor is top notch - moves at the right pace and keeps it interesting. Best Power BI course on Udemy!" -Adam Edwards "Resources are awesome. Presenter is brilliant. I found this course more useful than the offical Power BI course from Microsoft. Things are easy to follow, and presentations are of high quality." -Jacobus M. "Chris is a skilled communicator and does a great job of explaining a complex tool like Microsoft Power BI. His 'pro-tips' are great for new user productivity and gaining a sense of the big picture, and I value his best practices on building and managing Power BI queries and reports. I'm feeling much more confident to dig in and use Power BI on my own projects!" -Bill Jerrow __________ COURSE DESCRIPTION: If you're looking for a comprehensive, hands-on guide to learning Microsoft Power BI Desktop, you've come to the right place . Power BI is quickly becoming the world's most powerful self-service business intelligence platform, and an absolutely essential tool for data professionals and beginners alike. With Power BI you can connect to hundreds of data sources , build complex relational models using simple and intuitive tools, and design stunning, interactive dashboards from scratch -- all for free. __________ THE COURSE PROJECT: In this course, you'll be playing the role of Lead Business Intelligence Analyst for Adventure Works Cycles, a global manufacturing company. Your mission? To design and deliver a professional-quality, end-to-end business intelligence solution , armed only with Power BI and a handful of raw csv files. But don't worry, I'll be guiding you through the ins-and-outs of Power BI Desktop, sharing crystal clear explanations and helpful pro tips each step of the way. We'll follow a steady, systematic progression through the Power BI workflow, and break down our project into FOUR KEY OBJECTIVES: __________ POWER BI OBJECTIVE #1 : Connect & Transform the Raw Data Intro to the Power BI Query Editor Types of Power BI Data Connectors Basic Table Transformations Text, Number & Date Tools Index & Conditional Columns Grouping & Aggregating Data Pivoting & Unpivoting Modifying, Merging & Appending Queries Connecting to Folders Defining Hierarchies & Categories Query Editing & Power BI Best Practices __________ POWER BI OBJECTIVE #2: Build a Relational Data Model Intro to Database Normalization Data ("Fact") Tables vs. Lookup ("Dimension") Tables Creating Power BI Table Relationships "Star" vs. "Snowflake" Schemas Active vs. Inactive Relationships Relationship Cardinality Connecting Multiple Data Tables Filtering & Cross-Filtering Hiding Fields from the Power BI Report View Data Modeling & Power BI best Practices __________ POWER BI OBJECTIVE #3: Add Calculated Fields with DAX Intro to Data Analysis Expressions (DAX) Calculated Columns vs. Measures Row Context vs. Filter Context in Power BI DAX Syntax & Operators Common Power BI Functions Basic Date & Time Formulas Logical & Conditional Statements Text, Math & Stats Functions Joining Data with RELATED CALCULATE, ALL & FILTER Functions DAX Iterators (SUMX, AVERAGEX) Time Intelligence Formulas DAX & Power BI Best Practices __________ POWER BI OBJECTIVE #4: Design Interactive Power BI Reports Intro to the Power BI Report View Adding Basic Charts to Power BI Reports Formatting & Filtering Options Matrix Visuals Slicers & Timelines Cards & KPIs Power BI Map Visuals (Basic, Fill, ArcGIS) Treemaps, Lines, Areas & Gauges Editing Report interactions Adding Drillthrough Filters Linking to Report Bookmarks Using "What-If" Parameters Managing & Viewing Roles PREVIEW: Publishing to Power BI Service Power BI Data Viz Best Practices __________ By the end of the Adventure Works project, not only will you have developed an entire business intelligence tool from the ground up using Power BI, but you will have gained the knowledge and confidence to apply these same concepts to your own Power BI projects. For those looking for more opportunities to test their Power BI skills, I've also included an additional set of project files for a bonus Final Project . This is your chance to showcase all of the skills you've developed throughout the course, and apply them to a brand new data set from Maven Market , a global supermarket chain. Whether you're a casual Power BI user, aspiring analyst, or data science professional, this course will give you the tools you need to become an absolute Power BI ROCK STAR -- guaranteed. __________ Join today and get immediate, lifetime access to the following: 100+ page Power BI ebook Downloadable Power BI project files Homework exercises & quizzes 1-on-1 expert support Course Q&A forum 30-day money-back guarantee See you in there! -Chris ( Founder, Maven Analytics ) __________ P. S. Looking to master the full Excel + Power BI stack? Complete the path below and emerge an analytics ROCKSTAR: Excel Pro Tips for Power Users Advanced Excel Formulas & Functions Data Visualization with Excel Charts & Graphs Data Analysis with PivotTables Intro to Power Query, Power Pivot & DAX Up & Running with Power BI Desktop Publishing to Power BI Service
Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing | Edureka's Python Certification Training not only focuses on fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problem that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds | Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms | EdurekaÃ¢Â€Â™s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like Python machine learning, scripts, and sequence.
Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data â€œtidyâ€. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.