Today’s Free Udemy Courses are; Power BI DAX transition from SQL, Full Stack Programming for Complete Beginners in Python, Car Repair – Auto Repair & Tuning – Auto Technician Training and Marketing Analytics: Forecasting Models with Excel
Coupons are limited. So It may run out early
Free Udemy Course – 15 May 2021
Power BI DAX transition from SQL
During my more than 10 years of experience in the area of Data Analysis & Business Intelligence, I see people feel not comfortable when they move from SQL track to Power BI DAX. Anyone can take this course who want to learn Power BI DAX in a practical way. People who have experience with SSRS reporting services and if they want to learn what will be the equivalent of SQL in DAX, this course will help you understand Power BI DAX in a very easy step by step approach.
This course is purely based on DAX studio and SQL. First, we write SQL query and then we try to achieve the same results in DAX studio. I updated all of the courses available on Udemy regularly with the latest updates from Microsoft.
This is one of the unique courses available on Udemy that takes SQL and DAX Power BI together.
This course includes the following topics.
– How to import data into SQL from Excel?
-Use of Select & Evaluate to fetch the Data
-Selectcolumns function in DAX and SQL
-How to sort results in DAX and SQL
-How to create calculated column in DAX and SQL
-Distinct records in DAX and SQL
-How to fetch unique records using Summarize function
-Power BI Coalesce function in DAX and SQL
-Custom column using Summarize and Selectcolumns function
-Filtering record set in DAX and SQL
-Multiple logical conditions with Filter and Selectcolumn
-Countrows with Summarize for grouping
-Use of Addcolumns to achieve aggregation
-Addcolumn with Selectcolumn
-Addcolumns with Summarize function
-Calculatetable to filter recordset
-Calculatetable vs Filter function
-When to use calculatetable and filter function
-Naturalinnerjoin and Inner join in DAX and SQL
-Naturalinnerjoin and no physical relationship
-Alternatives of Natural Inner join in DAX
-Having clause in DAX and SQL
-Left outer join in dax and sql
-Cross join in dax and SQL
-Summarizecolumns in DAX and SQL
-Summarizecolumns with measure
-IN operator in DAX and SQL
-Search string in DAX and SQL
-Search string from left or right in DAX and SQL
-TopN results in DAX and SQL
-Generate with TopN in DAX and SQL
Full Stack Programming for Complete Beginners in Python
In this course you will learn programming from a complete beginner’s perspective in python. Not only that, you will learn frontend development in python with pyqt5 and database programming with mongoDB in python. As a bonus you will get to know basics of software engineering.
What you will Learn
- Programming in Python
- Frontend/ Graphical User Interfaces with Python
- Databases with MongoDB
- Python is a multipurpose programming language which can be used for almost any task, it is used a lot in web development and machine learning and is a must have in the modern programmer’s toolkit
- Besides programming in python pyqt5 is also taught which is a frontend library for developing high quality user interfaces using python. It also has a drag and drop interface which we will use to create user friendly programs in this course.
- MongoDB is also taught which is a very versatile noSql database solution.
- Software engineering basics taught are essential to every developer, we take a little look into it so the students know about software engineering and what it’s major modules are.
How the Course is taught
- High Quality Video Lectures with Hands on practice.
- Code given alongside
- Software Engineering Basics
- Access to our discord server for asking questions and discussing problems with your fellow students
Car Repair – Auto Repair & Tuning – Auto Technician Training
One of the things that I find most interesting about automotive technology is how it advances and changes. It is also interesting that ideas from many years ago often return to favour. In this course I have therefore concentrated on core technologies, in other words how the technology works, rather than giving too many examples from specific vehicles. However, I have included some examples of Formula 1 technology, arguably the pinnacle of automotive engineering. Did you know that the 2011 McLaren MP4-26 F1 car is made of 11500 components? And that’s counting the engine as one!
- Why Every Car Technician Should Know Electricy in Cars ?
In the past it was possible for technicians to work their entire careers and be able to almost completely avoid the vehicle’s electrical systems. They would specialize in engines, steering/suspension, or brakes. Today there is not a system on the vehicle that is immune to the role of electrical circuits. Engine controls, electronic suspension systems, and antilock brakes arecommon on today’s vehicles. Even electrical systems that were once thought of as being simple have evolved to computer controls. Headlights are now pulse-width modulated using highside drivers and will automatically brighten and dim based on the light intensity of oncomingtraffic. Today’s vehicles are equipped with twenty or more computers, laser-guided cruise control, sonar park assist, infrared climate control, fiber optics, and radio frequency transponders and decoders. Simple systems have become more computer reliant.
Even the tires have computers involved, with the addition of tire pressure monitoring systems!
Today’s technician must possess a full and complete electrical background to be able to succeed. The future will provide great opportunities for those technicians who have prepared themselves properly.
- Car Tuning
Cars are literally the vehicles by which we see the world, and by which the world sees us. Second in value only to the homes in which we live, cars are the reflection of who we are when we are in transit — out in the world commuting to work or having fun on the weekend. They are also the closet bond most people ever form with a machine. We think a movement, and the car translates that thought, that impulse, into action. The car becomes an extension of ourselves. Few things are as often mutually desired and accessible as an automobile.With that possession comes opportunity, as some folks see it, to do something different. Something cool. As cars become more and more alike with each passing model year, the drive for owners to individualize them grows increasingly stronger. We want to feel something towards our cars.
- Car ECU Hacking and Tuning
This Chapter of Course walks you through what it takes to hack a vehicle. We begin with an overview of the policies surrounding vehicle security and then delve in to how to check whether your vehicle is secure and how to find vulnerabilities in more sophisticated hardware systems.
The automotive industry has churned out some amazing vehicles, with complicated electronics and computer systems, but it has released little information about what makes those systems work. Once you understand how a vehicle’s network works and how it communicates within its own system and outside of it, you’ll be better able to diagnose and troubleshoot problems.
Marketing Analytics: Forecasting Models with Excel
You’re looking for a complete course on understanding Forecasting models and forecasting analytics to drive business decisions involving production schedules, inventory management, manpower planning, demand forecasting, and many other parts of the business., right?
You’ve found the right Marketing Analytics: Forecasting Models with Excel! This course teaches you everything you need to know about different forecasting models and how to implement these models for devising forecasting analytics in Excel using advanced excel tool.
After completing this course you will be able to:
- Implement forecasting analytics and forecasting models such as simple linear, simple multiple regression, Ratio to Moving Average, Winter’s method for exponential smoothing with trend and seasonality, famous Bass diffusion model and many more.
- Increase revenue/profit of your firm by implementing accurate forecasting analytics using Excel solver Add-in
- Confidently practice, discuss and understand different Forecasting analytics strategies and forecasting models used by organizations
- Creating demand forecasting strategies using forecasting analytics techniques and various forecasting models.
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Marketing Analytics: Forecasting Models with Excel course.
If you are a business manager or an executive, or a student who wants to learn and apply forecasting analytics and forecasting models in real world problems of business, this course will give you a solid base by teaching you the most popular forecasting models and how to implement it for effective demand forecasting and for devising forecasting analytics techniques.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts on forecasting analytics, demand forecasting, forecasting models through how-to examples. Each section has the following components:
- Theoretical concepts and use cases of different forecasting models and forecasting analytics techniques
- Step-by-step instructions on implement forecasting models and forecasting analytics techniques in excel for demand forecasting
- Downloadable Excel file containing data and solutions used in each lecture on forecasting models and forecasting analytics
- Class notes and assignments to revise and practice the concepts on demand forecasting, forecasting models and forecasting analytics techniques
The practical classes where we create the model for each of these strategies is something which differentiates this course from any other course available online.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Analytics and we have used our experience to include the practical aspects of Marketing and data analytics in this course
We are also the creators of some of the most popular online courses – with over 170,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman – Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
What is covered in this course?
Understanding how future sales will change is one of the key information needed by manager to take data driven decisions. In this course, we will explore how one can use forecasting models to
- See patterns in time series data
- Make forecasts based on models
Let me give you a brief overview of the course
- Section 1 – Introduction
In this section we will learn about the course structure
- Section 2 – Basics of Forecasting
In this section, we will discuss about the basic of forecasting and we will also learn the easiest way to create simple linear regression model in Excel
- Section 3 – Getting Data Ready for Regression Model
In this section you will learn what actions you need to take a step by step to get the data and then prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment and missing value imputation.
- Section 4 – Forecasting using Regression Model
This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results.
- Section 5 – Handling Special events like Holiday sales
In this section we will learn how to incorporate effects of Day of Week Effect, Month Effect or any special event such Holidays, pay day etc.
- Section 6 – Identifying Seasonality & Trend for Forecasting
In this section we will learn about trends and seasonality and how to use the Solver to develop an additive or multiplicative model to estimate trends and seasonality. We will also learn how to use moving averages to eliminate seasonality to easily see trends in sales.
- Section 7 – Handling Changing Trend & Seasonality over time
In this section we will learn about Winter’s Method that changes trend and seasonal index estimates during each period has a better chance of keeping up with changes than other methods.
- Section 8 – Forecasting models for New Products
In this section we will learn techniques to forecast new product sales. It is difficult to forecast when we have little or no historical data. The S curve can be used when we have little data and the famous bass diffusion model can be used to predict product sales even before the product is launched in the market.