Posts - 45 results

  • Udemy – Learn Python in a Practical Way [100% OFF]

    Posted on 06/02/2019 by | 0 comments

    Course Description

    This course aims to build strong fundamentals in the Python Programming Language. Python is a powerful,widely used programming language and is easy for beginners to learn quickly.Various development projects can be done and various products can be built by using Python.

    Python is one of those rare languages which can claim to be both simple and powerful. You will find yourself pleasantly surprised to see how easy it is to concentrate on the solution to the problem rather than the syntax and structure of the language you are programming in.

    Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

    This course covers all the basics of Python. The concepts of variables,strings and different kinds of operators and other important topics have been taught in this course.Python lets you implement Web Development, Software Development,Game Development,Data Science and many other domains.

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  • Udemy – How To Use Alteryx To Visualise SQL Server Data In Qliksense [100% OFF]

    Posted on 18/01/2019 by | 0 comments

    Course Description

    This course is divided into three modules :

    1. Database design using SQL server.

    2. Alteryx Designer  2018.4.4
    3. QlikSense, A Personalised, interactive data visualisations tool.
    • Module 1: Database design using SQL server:

    This module will cover very basics of any database system. We will start by designing a simple database. Then will learn how to use SQL , to retrieve data stored in SQL Server. How to design tables so that you could store data in that. Then will show you how to use other data manipulation statements available in SQL.

    We will cover following keywords in SQL.

    1. Select from table ,
    2. create table ,
    3. Insert into table
    4. Delete from table
    5. Where clause while using select and delete.
    6. primary key unique key.

    Upcoming topics:

    1. Constrains (Check)
    2. View
    3. Index
    4. Join
    5. Union
    6. stored procure
    7. Functions

    At the end of this module we will list few of the most common interview question, that you could expect from database management system.

    • Module 2: Alteryx Designer  2018.4.4:

    Primary focus of this module is to clear Alteryx Designer  core certification. We will start by creating a small workflow in alteryx. Then will try to explain most commonly used tool in alteryx and will explain how to configure this tools.

    We will show how to create a community account and where apply for the exam. Also will show how you could attend this designer core exam from your home. we will try to explain all the expected question that might ask in your exam. We are not providing any data dumps, instead we are trying to explain all the important topics/tool that you should know in order to work with alteryx. As it is important and most commonly used tool , you could expect multiple questions about this tool.

    Module 3: QlikSense Visualisation.

    This part is in post production stage and we will publish all our qliksense videos soon.

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  • Udemy – The Complete SQL Masterclass for Data Analytics [100% OFF]

    Posted on 09/01/2019 by | 0 comments

    Course Description

    Welcome to The Complete SQL Masterclass for Data Analytics

    The course is created on the basis of three pillars of learning:

    1. Know (Study)
    2. Do (Practice)
    3. Review (Self feedback)


    We have created a set of concise and comprehensive videos to teach you all the SQL related skills you will need in your professional career.


    We also provide Exercises to complement the learning from the lecture video. These exercises are carefully designed to further clarify the concepts and help you with implementing the concepts on practical problems faced on-the-job.


    Check if you have learnt the concepts by executing your code and analyzing the result set. Ask questions in the discussion board if you face any difficulty.

    Apart from this, their is a bonus section which covers important topics from the view of job interviews and Vivas.

    The Authors of this course have several years of corporate experience and hence have curated the course material keeping in mind the requirement of Excel in today’s corporate world.

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  • Udemy – Predictive Modeling using SPSS [100% OFF]

    Posted on 26/12/2018 by | 0 comments

    Course Description

    Predictive modelling course aims to provide and enhance predictive modelling skills across business sectors/domains. Quantitative methods and predictive modelling concepts could be extensively used in understanding the current customer behavior, financial markets movements, and studying tests and effects in medicine and in pharma sectors after drugs are administered. The course picks theoretical and practical datasets for predictive analysis. Implementations are done using SPSS software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the higher order regression models such as quadratic and polynomial regressions which aren’t covered in other online courses.

    Essential skillsets – Prior knowledge of Quantitative methods and MS Office, Paint
    Desired skillsets — Understanding of Data Analysis and VBA toolpack in MS Excel will be useful


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  • Udemy – Web Scraping using NODE JS with Projects from scratch [100% OFF]

    Posted on 26/12/2018 by | 0 comments

    Course Description

    Web scrapping is the Data Science technique of gathering or storing useful and public information from websites in a suitable format like spreadsheets that can be used later for any purpose. It basically removes the burden of copying the data manually, instead it provides an automated way to do it.

    The data extraction is done from websites using some sort of a code written called “scraper” which takes the a Web URL, parses the HTML DOM of that site and then return the result which we can save in some format say CSV for future use. The data that we parse can be in form of texts, images, package names and their corresponding prices, videos and contact information like email, name, phone numbers and so on.

    This course is built in NODEJS that is light weight, efficient, and scale-able  due to its non-blocking I/O and event driven. The main advantage of node is that its asynchronous in nature which means that you don’t have to wait for a request to complete before making another one which in turn provides a very high performance. This course is made in so much easy way so that one who doesn’t have any knowledge of NODEJS can easily understand and hence build own scrapper in NODEJS.

    We are using Selenium which is automation testing tool that provides various elements and methods to interact with HTML DOM in order to parse the website.


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  • Udemy – Data Science with R – Beginners [100% OFF]

    Posted on 10/12/2018 by | 0 comments

    Course Description

    This training is an introduction to the concept of Data science domain and its application using R programming language. The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data. The tutorials will include the following;

    • Introduction to R programming
    • Reproducible Analysis

    • Data Manipulation
    • Visualizing Data
    • Working with Large Datasets
    • Supervised Learning
    • Unsupervised Learning
    • In depth R programming
    • Object oriented Programming
    • Building an R package
    • Testing and Package Checking
    • Version Control
    • Profiling and Optimizing


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  • Udemy – Business Analytics: Use Data Analysis for Financial Industry [100% OFF]

    Posted on 10/11/2018 by | 0 comments

    Course Description

    Data science is now a mainstream business tool. It is  applied across many industries to increase profits, reduce costs, save lives and improve customer experiences.

    In the past few years, the ability of data science to deal with a number of significant financial tasks has become an extremely important point. More and more companies want to learn what enhancements data science brings and how it can reform their business strategies.

    The extent of data available to companies and individuals is unprecedented. Financial industries have the most digital data stored. Organizations that want to leverage this available data require professionals who have a solid understanding of data analytics and understand how to apply it to solve meaningful business challenges.

    This course reveals the reality of the data analytics world, and outlines clear and actionable steps that will equip the student with the tools needed for this next phase of business evolution. It will help you understand the basic concepts in data analytics as well as its applications. It contains proven steps and strategies on how to use everyday data analytics for financial services to increase profitability and customer satisfaction.

    Enroll Now and make the smartest investment you could possibly make.  An investment in yourself, your knowledge and your business growth.

    What you’ll learn in this course:

    ·         The Importance of data in business

    ·         Learn how big data could change your job, your company, and your industry

    ·         Learn how to handle and manage data

    ·         Real world examples of data science benefiting businesses

    ·         Discover why data-driven organizations use the scientific method to explore and solve data problems

    ·         Key questions to help you create a research-specific process for tackling vital issues

    ·         Deploy a structured lifecycle approach to data science problems

    ·         Apply suitable analytic techniques to analyzing big data

    ·         Discover how to tell a powerful story with data to drive business action

    ·         Discover the advantages of data analysis and the specific analytical tactics

    ·         Learn how to use data analysis to detect fraud

    ·         Learn how financial services can apply data analysis to solve real-world problems


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  • Udemy – Advanced Machine Learning & Data Analysis Projects Bootcamp [100% OFF]

    Posted on 27/09/2018 by | 0 comments

    udemy course - advanced machine learning and data analysis projects bootcamp


    Dive into a world of data science and analysis with a wide range of examples including the CIFAR 100 image dataset, Xcode development for Apple, Swift coding, CoreML, image recognition, and structuring data with pandas.

    This Mammoth Interactive course was funded by a #1 project on Kickstarter

    Learn Android Studio, Java, app development, Pycharm, Python coding, Tensforflow and more with Mammoth Interactive.

    Build advanced projects using machine learning including advanced the MNIST database with neuron functions. Build a text summarizer and learn object localization, object recognition and Tensorboard.

    Machine learning is a machine’s ability to make decisions or predictions based on previous exposure to data and extensive training. In other words, if a machine (program, app, etc.) improves its prediction accuracy through training then it has “learned”.

    Learn How Models Work

    Computational graphs consist of a network of connected nodes (often called neurons). Each of these nodes typically has a weight and a bias that helps determine, given an input, which path is the most likely.

    There are 4 main components to building a machine learning program: data gathering and formatting, model building, training, and testing and evaluating

    Data Gathering and Formatting

    You will learn to gather plenty of data for the model to learn from.

    All data should be formatted pretty much the same (images same size, same color scheme, etc.) and should be labelled. Also divide data into mutually exclusive training and testing sets.

    Model Building

    You will learn to figure out which kind of model scheme works best and what kinds of algorithms work best for the problem you’re trying to solve.

    Training, Testing and Evaluating

    The model can choose paths through the neural network or computational graph based upon the inputs for a particular run, as well as the weights and biases of neurons in the network.

    In supervised learning, we show the model what the correct outputs are for a given set of inputs and the model alters the weights and biases of neurons to minimize the difference between its output and the correct answer.

    Enroll Now to Learn with Mammoth Interactive


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  • Udemy – AWS Big Data Specialty Practice Test [100% OFF]

    Posted on 13/08/2018 by | 0 comments


    Are you ready to pass the AWS Big Data Specialty Practice Test

    Use this course to gauge your readiness level for the actual exam. These  practice tests will help you know if you are ready to take the exam, or identify if you need to spend more time on any of the exam topics.

    These tests cover material from each of the exam topics. With time limits on each test, you will learn time management for the real exam. 

    What you get from this course

    • 230+ UNIQUE practice questions for AWS Big Data Specialty Practice Test
    • Practice testsare created by Subject Matter Experts and the questions always stay current with the actual exam.
    • 100% verified answers and explanations to each question.
    • After taking the practice test you can at least get 80% on the main exam.

    Official Exam Details

    • Exam Name             : AWS Big Data Specialty Practice Test
    • Total Questions      : 238
    • Type of Questions  : Multiple choice
    • Time Allowed          : 300 mins
    • Passing Score          : 75 (178 of 238)


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  • Udemy – Data Science for Business: Boost Your Profits & Performance [100% OFF]

    Posted on 30/07/2018 by | 0 comments


    Do you want to know what makes data science more valuable than ever?

    Better information allows for better decisions, better targeting, and a better reach. It’s essential that businesses gain a better understanding of their customers and prospects. Data science is the key to this insight, because it provides an extensive view of a company’s customers — who they are, and who they may be tomorrow.

    Thinking bigger is an essential trait for anyone who wants to ensure that their company will thrive. Data Science has become an indispensable tool for the most effective marketers in the business. Gaining a competitive advantage in the marketplace requires a full understanding and application of data science.

    I’m gonna provide you with proven steps and strategies on how to use data science for business to increase profitability and customer satisfaction. We will go over the main aspects of analyzing data correctly by using various strategies you need to implement in order to get results that are precise and beneficial. I’m gonna give you a clear understanding, and a step-by-step approach to building your own data science strategy. In addition, I’m gonna offer you guidance on how to ensure security, and respect the privacy rights of consumers.

    This course is a comprehensive and accessible guide on how to win customers, beat competitors, and boost your profits using data science.

    What you’ll learn in this course:

    • Learn what Data Science is, and how it will transform your business
    • Explore why major corporations are betting their companies on marketing technology
    • Understand why data is your single most powerful tool
    • The Importance Of Data Analysis In Business
    • Retail, Marketing & Sales data
    • A Step-By-Step Guide For Conducting Data Analysis For Your Business
    • Learn Sentiment Analysis
    • Exploring market segmentation
    • Software recommendations and applications.
    • Learn to evaluate Leads & Customers
    • Learn Recommendation Engines
    • Learn How to Apply Dynamic Princing
    • Learn How You Can Use Data Science To Predict Trends


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