|Course or Certification Name||Category||Location||Mode of learning|
|Statistics for Data Science and Business Analysis||Online self study|
|Simplilearn Data Scientist Master's Program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Microsoft Excel - Data Analysis with Excel Pivot Tables||Online self study|
|Data Scientist Master's program||Data Science||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Science with R Professional||Data Science||Online self study|
|Data Analysis for Trading in Shares and Commodity Market||Online self study|
|Python for Finance: Investment Fundamentals & Data Analytics||Online self study|
|Foundations for Big Data Analysis with SQL||Big Data||Online self study|
|Big Data Hadoop Architect Masters Program||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Data Analysis for Healthcare Management||Classroom|
|Data Analysis with Pandas and Python||Online self study|
|Complete 2020 Data Science & Machine Learning Bootcamp||Online self study|
|Complete Machine Learning and Data Science: Zero to Mastery||Online self study|
|Intro to Data Analysis||Data Science||Online self study|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist? Well then, you‚ ve come to the right place! Statistics for Data Science and Business Analysis is here for you with TEMPLATES in Excel included! This is where you start. And it is the perfect beginning! In no time, you will acquire the fundamental skills that will enable you to understand complicated statistical analysis directly applicable to real-life situations. We have created a course that is: Easy to understand Comprehensive Practical To the point Packed with plenty of exercises and resources Data-driven Introduces you to the statistical scientific lingo Teaches you about data visualization Shows you the main pillars of quant research It is no secret that a lot of these topics have been explained online. Thousands of times. However, it is next to impossible to find a structured program that gives you an understanding of why certain statistical tests are being used so often. Modern software packages and programming languages are automating most of these activities, but this course gives you something more valuable ‚ critical thinking abilities. Computers and programming languages are like ships at sea. They are fine vessels that will carry you to the desired destination, but it is up to you, the aspiring data scientist or BI analyst, to navigate and point them in the right direction. Teaching is our passion We worked hard for over four months to create the best possible Statistics course which would deliver the most value to you. We want you to succeed, which is why the course aims to be as engaging as possible. High-quality animations, superb course materials, quiz questions, handouts and course notes, as well as a glossary with all new terms you will learn, are just some of the perks you will get by subscribing. What makes this course different from the rest of the Statistics courses out there? High-quality production ‚ HD video and animations (This isn‚ a collection of boring lectures!) Knowledgeable instructor (An adept mathematician and statistician who has competed at an international level) Complete training ‚ we will cover all major statistical topics and skills you need to become a marketing analyst, a business intelligence analyst, a data analyst, or a data scientist Extensive Case Studies that will help you reinforce everything you‚ ve learned Excellent support - if you don‚ understand a concept or you simply want to drop us a line, you‚ ll receive an answer within 1 business day Dynamic - we don‚ want to waste your time! The instructor sets a very good pace throughout the whole course Why do you need these skills? Salary/Income ‚ careers in the field of data science are some of the most popular in the corporate world today. And, given that most businesses are starting to realize the advantages of working with the data at their disposal, this trend will only continue to grow Promotions ‚ If you understand Statistics well, you will be able to back up your business ideas with quantitative evidence, which is an easy path to career growth Secure Future ‚ as we said, the demand for people who understand numbers and data, and can interpret it, is growing exponentially; you‚ ve probably heard of the number of jobs that will be automated soon, right? Well, data science careers are the ones doing the automating, not getting automated Growth - this isn‚ a boring job. Every day, you will face different challenges that will test your existing skills and require you to learn something new Please bear in mind that the course comes with Udemy‚ s 30-day unconditional money-back guarantee. And why not give such a guarantee? We are certain this course will provide a ton of value for you. Let's start learning together now!
This Master’s Program provides training in the skills required to become a certified data scientist. You’ll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.
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!
Designed keeping in mind the needs of the new demand for strong analytics professionals, Data Scientist Masters program is equipped with all the conceptual and technical knowledge required in the analytics industry. This course also renders access to elearning content, resources, simulation exams and things that make certain the path to nurture your dream position of data scientist. Not only you gain strong analytic skill but business analytics and most in demand technologies like Python, R and SAS. Data scientist jobs are in great demand and perfect field for career.
Data Science is an inter-disciplinary filed that uses scientific methods, processes and systems to extract useful insights from data. R is an open-source programming language used in data science for statistical computing and graphics. | This Certified Data Science with R Professional course has been specifically designed for candidates to get the requisite skills and knowledge to work as data scientists | It also provides the necessary training to the candidates to have working experience in R as per the requirements for data analysis and statistical computing | The course has been developed by expert professionals and has quality online learning modules | It offers candidates a course-completion certification, accepted globally
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
Do you want to learn how to use Python in a working environment? Are you a young professional interested in a career in Data Science? Would you like to explore how Python can be applied in the world of Finance and solve portfolio optimization problems? If so, then this is the right course for you! We are proud to present Python for Finance: Investment Fundamentals and Data Analytics ‚ one of the most interesting and complete courses we have created so far. It took our team slightly over four months to create this course, but now, it is ready and waiting for you. An exciting journey from A-Z. If you are a complete beginner and you know nothing about coding, don‚ worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks. Finance Fundamentals. And it gets even better! The Finance block of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily: Rate of return of stocks Risk of stocks Rate of return of stock portfolios Risk of stock portfolios Correlation between stocks Covariance Diversifiable and non-diversifiable risk Regression analysis Alpha and Beta coefficients Measuring a regression‚ s explanatory power with R^2 Markowitz Efficient frontier calculation Capital asset pricing model Sharpe ratio Multivariate regression analysis Monte Carlo simulations Using Monte Carlo in a Corporate Finance context Derivatives and type of derivatives Applying the Black Scholes formula Using Monte Carlo for options pricing Using Monte Carlo for stock pricing Everything is included! All these topics are first explained in theory and then applied in practice using Python. Is there a better way to reinforce what you have learned in the first part of the course? This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context. Teaching is our passion. Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient videos. Don‚ forget to check some of our sample videos to see how easy they are to understand. If you have questions, contact us! We enjoy communicating with our students and take pride in responding within the 1 business day. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding. What makes this course different from the rest of the Programming and Finance courses out there? This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course. High-quality production ‚ HD video and animations (this isn‚ a collection of boring lectures!) Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics in real life and here on Udemy. Complete training ‚ we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!) Extensive Case Studies that will help you reinforce everything you‚ ve learned. Course Challenge: Solve our exercises and make this course an interactive experience. Excellent support: If you don‚ understand a concept or you simply want to drop us a line, you‚ ll receive an answer within 1 business day. Dynamic: We don‚ want to waste your time! The instructors set a very good pace throughout the whole course. Please don‚ forget that the course comes with Udemy‚ s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you? Just subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!
In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.
Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.
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.
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!
Welcome to the Complete Data Science and Machine Learning Bootcamp, the only course you need to learn Python and get into data science. At over 40+ hours, this Python course is without a doubt the most comprehensive data science and machine learning course available online. Even if you have zero programming experience, this course will take you from beginner to mastery . Here's why: The course is a taught by the lead instructor at the App Brewery, London's leading in-person programming bootcamp . In the course, you'll be learning the latest tools and technologies that are used by data scientists at Google, Amazon, or Netflix. This course doesn't cut any corners, there are beautiful animated explanation videos and real-world projects to build. The curriculum was developed over a period of three years together with industry professionals, researchers and student testing and feedback. To date, we've taught over 200,000 students how to code and many have gone on to change their lives by getting jobs in the industry or starting their own tech startup. You'll save yourself over $12,000 by enrolling, but get access to the same teaching materials and learn from the same instructor and curriculum as our in-person programming bootcamp. We'll take you step-by-step through video tutorials and teach you everything you need to know to succeed as a data scientist and machine learning professional. The course includes over 35 hours of HD video tutorials and builds your programming knowledge while solving real-world problems. In the curriculum, we cover a large number of important data science and machine learning topics, such as: Data Cleaning and Pre-Processing Data Exploration and Visualisation Linear Regression Multivariable Regression Optimisation Algorithms and Gradient Descent Naive Bayes Classification Descriptive Statistics and Probability Theory Neural Networks and Deep Learning Model Evaluation and Analysis Serving a Tensorflow Model Throughout the course, we cover all the tools used by data scientists and machine learning experts, including: Python 3 Tensorflow Pandas Numpy Scikit Learn Keras Matplotlib Seaborn SciPy SymPy By the end of this course, you will be fluently programming in Python and be ready to tackle any data science project . We'll be covering all of these Python programming concepts: Data Types and Variables String Manipulation Functions Objects Lists, Tuples and Dictionaries Loops and Iterators Conditionals and Control Flow Generator Functions Context Managers and Name Scoping Error Handling By working through real-world projects you get to understand the entire workflow of a data scientist which is incredibly valuable to a potential employer. Sign up today, and look forward to: 178+ HD Video Lectures 30+ Code Challenges and Exercises Fully Fledged Data Science and Machine Learning Projects Programming Resources and Cheatsheets Our best selling 12 Rules to Learn to Code eBook $12,000+ data science & machine learning bootcamp course materials and curriculum Don't just take my word for it, check out what existing students have to say about my courses: One of the best courses I have taken. Everything is explained well, concepts are not glossed over. There is reinforcement in the challenges that helps solidify understanding. I'm only half way through but I feel like it is some of the best money I've ever spent.-Robert Vance I've spent £27,000 on University..... Save some money and buy any course available by Philipp! Great stuff guys.-Terry Woodward "This course is amazingly immersive and quite all-inclusive from end-to-end to develop an app! Also gives practicality to apply the lesson straight away and full of fun with bunch of sense of humor, so it's not boring to follow throughout the whole course. Keep up the good work guys!" - Marvin Septianus Great going so far. Like the idea of the quizzes to challenge us as we go along. Explanations are clear and easy to follow-Lenox James Very good explained course. The tasks and challenges are fun to do learn an do! Would recommend it a thousand times.-Andres Ariza I enjoy the step by step method they introduce the topics. Anyone with an interest in programming would be able to follow and program-Isaac Barnor I am learning so much with this course; certainly beats reading older Android Ebooks that are so far out of date; Phillippe is so easy any understandable to learn from. Great Course have recommended to a few people.-Dale Barnes This course has been amazing. Thanks for all the info. I'll definitely try to put this in use. :)-Devanshika Ghosh Great Narration and explanations. Very interactive lectures which make me keep looking forward to the next tutorial-Bimal Becks English is not my native language but in this video, Phillip has great pronunciation so I don't have problem even without subtitles :)-Dreamerx85 Clear, precise and easy to follow instructions & explanations!-Andreea Andrei An incredible course in a succinct, well-thought-out, easy to understand package. I wish I had purchased this course first.-Ian REMEMBER¦ I'm so confident that you'll love this course that we're offering a FULL money back guarantee for 30 days! So it's a complete no-brainer, sign up today with ZERO risks and EVERYTHING to gain. So what are you waiting for? Click the buy now button and join the world's best data science and machine learning course.
Become a complete Data Scientist and Machine Learning engineer! Join a live online community of 180,000+ developers and a course taught by industry experts that have actually worked for large companies in places like Silicon Valley and Toronto. This is a brand new Machine Learning and Data Science course just launched January 2020! Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies. Learn Data Science and Machine Learning from scratch, get hired, and have fun along the way with the most modern, up-to-date Data Science course on Udemy (we use the latest version of Python, Tensorflow 2.0 and other libraries). This course is focused on efficiency: never spend time on confusing, out of date, incomplete Machine Learning tutorials anymore. We are pretty confident that this is the most comprehensive and modern course you will find on the subject anywhere (bold statement, we know). This comprehensive and project based course will introduce you to all of the modern skills of a Data Scientist and along the way, we will build many real world projects to add to your portfolio. You will get access to all the code, workbooks and templates (Jupyter Notebooks) on Github, so that you can put them on your portfolio right away! We believe this course solves the biggest challenge to entering the Data Science and Machine Learning field: having all the necessary resources in one place and learning the latest trends and on the job skills that employers want. The curriculum is going to be very hands on as we walk you from start to finish of becoming a professional Machine Learning and Data Science engineer. The course covers 2 tracks. If you already know programming, you can dive right in and skip the section where we teach you Python from scratch. If you are completely new, we take you from the very beginning and actually teach you Python and how to use it in the real world for our projects. Don't worry, once we go through the basics like Machine Learning 101 and Python, we then get going into advanced topics like Neural Networks, Deep Learning and Transfer Learning so you can get real life practice and be ready for the real world (We show you fully fledged Data Science and Machine Learning projects and give you programming Resources and Cheatsheets)! The topics covered in this course are: - Data Exploration and Visualizations - Neural Networks and Deep Learning - Model Evaluation and Analysis - Python 3 - Tensorflow 2.0 - Numpy - Scikit-Learn - Data Science and Machine Learning Projects and Workflows - Data Visualization in Python with MatPlotLib and Seaborn - Transfer Learning - Image recognition and classification - Train/Test and cross validation - Supervised Learning: Classification, Regression and Time Series - Decision Trees and Random Forests - Ensemble Learning - Hyperparameter Tuning - Using Pandas Data Frames to solve complex tasks - Use Pandas to handle CSV Files - Deep Learning / Neural Networks with TensorFlow 2.0 and Keras - Using Kaggle and entering Machine Learning competitions - How to present your findings and impress your boss - How to clean and prepare your data for analysis - K Nearest Neighbours - Support Vector Machines - Regression analysis (Linear Regression/Polynomial Regression) - How Hadoop, Apache Spark, Kafka, and Apache Flink are used - Setting up your environment with Conda, MiniConda, and Jupyter Notebooks - Using GPUs with Google Colab By the end of this course, you will be a complete Data Scientist that can get hired at large companies. We are going to use everything we learn in the course to build professional real world projects like Heart Disease Detection, Bulldozer Price Predictor, Dog Breed Image Classifier, and many more . By the end, you will have a stack of projects you have built that you can show off to others. Here's the truth: Most courses teach you Data Science and do just that. They show you how to get started. But the thing is, you don't know where to go from there or how to build your own projects. Or they show you a lot of code and complex math on the screen, but they don't really explain things well enough for you to go off on your own and solve real life machine learning problems. Whether you are new to programming, or want to level up your Data Science skills, or are coming from a different industry, this course is for you. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner with no Data Science experience, to someone that can go off, forget about Daniel and Andrei, and build their own Data Science and Machine learning workflows. Machine Learning has applications in Business Marketing and Finance, Healthcare, Cybersecurity, Retail, Transportation and Logistics, Agriculture, Internet of Things, Gaming and Entertainment, Patient Diagnosis, Fraud Detection, Anomaly Detection in Manufacturing, Government, Academia/Research, Recommendation Systems and so much more. The skills learned in this course are going to give you a lot of options for your career. You hear statements like Artificial Neural Network, or Artificial Intelligence (AI), and by the end of this course, you will finally understand what these mean! Click Enroll Nowand join others in our community to get a leg up in the industry, and learn Data Scientist and Machine Learning. We guarantee this is better than any bootcamp or online course out there on the topic. See you inside the course! Taught By: Andrei Neagoie is the instructor of the highest rated Development courses on Udemy as well as one of the fastest growing. His graduates have moved on to work for some of the biggest tech companies around the world like Apple, Google, Amazon, JP Morgan, IBM, UNIQLO etc... He has been working as a senior software developer in Silicon Valley and Toronto for many years, and is now taking all that he has learned, to teach programming skills and to help you discover the amazing career opportunities that being a developer allows in life. Having been a self taught programmer, he understands that there is an overwhelming number of online courses, tutorials and books that are overly verbose and inadequate at teaching proper skills. Most people feel paralyzed and don't know where to start when learning a complex subject matter, or even worse, most people don't have $20,000 to spend on a coding bootcamp. Programming skills should be affordable and open to all. An education material should teach real life skills that are current and they should not waste a student's valuable time. Having learned important lessons from working for Fortune 500 companies, tech startups, to even founding his own business, he is now dedicating 100% of his time to teaching others valuable software development skills in order to take control of their life and work in an exciting industry with infinite possibilities. Andrei promises you that there are no other courses out there as comprehensive and as well explained. He believes that in order to learn anything of value, you need to start with the foundation and develop the roots of the tree. Only from there will you be able to learn concepts and specific skills(leaves) that connect to the foundation. Learning becomes exponential when structured in this way. Taking his experience in educational psychology and coding, Andrei's courses will take you on an understanding of complex subjects that you never thought would be possible. See you inside the course!
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
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.