Be taught information analytics by studying Excel, SQL, Python, Analytics & ML ideas from scratch in Hindi
What you’ll study
Microsoft Excel सीखने वाले सभी नए विद्यार्थियों के लिए कोर्स – इसमें आप Microsoft Excel, Spreadsheets, Formulation, Excel shortcuts, Macros आदि सीखेंगे
Excel के सबसे ज़रूरी और लोकप्रिय Lookup फंक्शन जैसे – Vlookup, Hlookup, Index और Match फंक्शनों को काफी अच्छे से सीख पाओगे ।
SQL की सभी ज़रूरी instructions को सीख पाओगे |
Bar chart, Scatter plots, Histogram आदि का उपयोग करके अपने दर्शकों को आकर्षित कर पाओगे ।
Machine Studying Linear Regression downside के लिए information assortment और information preprocessing की गहराई से जानकारी प्राप्त करोगे |
Description
You’re in search of an entire course on the way to change into a information analyst, proper?
You’ve discovered the fitting Information Analyst Masterclass with Excel, SQL & Python course! This course will train you data-driven decision-making, information visualization, information analytics in SQL, and the usage of predictive analytics like linear regression in enterprise settings.
After finishing this course it is possible for you to to:
- Grasp Excel’s hottest lookup features akin to Vlookup, Hlookup, Index, and Match
- Develop into proficient in Excel information instruments like Sorting, Filtering, Information validations, and Information importing
- Make nice shows utilizing Bar charts, Scatter Plots, Histograms, and so forth.
- Develop into proficient in SQL instruments like GROUP BY, JOINS, and Subqueries
- Develop into competent in utilizing sorting and filtering instructions in SQL
- Discover ways to resolve real-life enterprise issues utilizing the Linear Regression method
- Perceive the way to interpret the results of the Linear Regression mannequin and translate them into actionable perception
How this course will show you how to?
A Verifiable Certificates of Completion is offered to all college students who undertake this course on Information Analyst Skillpath in Excel, SQL, and Python.
If you’re a pupil, enterprise supervisor, or enterprise analyst, or an government who needs to study Information Analytics ideas and apply information analytics strategies to real-world issues of the enterprise perform, this course will provide you with a stable base for Information Analytics by educating you the preferred information evaluation fashions and instruments
Why do you have to select this course?
We imagine in educating by instance. This course is not any exception. Each Part’s major focus is to show you the ideas by way of how-to examples. Every part has the next parts:
- Ideas and use instances of various Statistical instruments required for evaluating information analytics fashions
- Step-by-step directions on implementing information analytics fashions
- Downloadable information containing information and options used within the course
- Class notes and assignments to revise and observe the ideas
The sensible courses the place we create the mannequin for every of those methods are one thing that differentiates this course from every other course obtainable on-line.
What makes us certified to show you?
The course is taught by Abhishek (MBA – FMS Delhi, B. Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B. Tech – IIT Roorkee). As managers within the World Analytics Consulting agency, now we have helped companies resolve their enterprise issues utilizing Analytics and now we have used our expertise to incorporate the sensible points of enterprise analytics on this course. We have now in-hand expertise in Enterprise Evaluation.
We’re additionally the creators of among the hottest on-line programs – with over 1,200,000 enrollments and hundreds of 5-star critiques like these ones:
This is superb, i really like the actual fact the all clarification given will be understood by a layman – Joshua
Thanks Creator for this excellent course. You’re the finest and this course is value any value. – Daisy
Our Promise
Instructing our college students is our job and we’re dedicated to it. You probably have any questions in regards to the course content material, observe sheet, or something associated to any matter, you possibly can all the time put up a query within the course or ship us a direct message.
Obtain Observe information, take Quizzes, and full Assignments
With every lecture, there are class notes hooked up so that you can comply with alongside. It’s also possible to take quizzes to examine your understanding of ideas like Information Analytics in MS Excel, SQL, and Python. Every part accommodates a observe project so that you can virtually implement your studying on Information Analytics.
What is roofed on this course?
The evaluation of knowledge just isn’t the principle crux of analytics. It’s the interpretation that helps present insights after the applying of analytical strategies that makes analytics such an necessary self-discipline. We have now used the preferred analytics software program instruments that are MS Excel, SQL, and Python. It will help the scholars who haven’t any prior coding background to study and implement Analytics and Machine Studying ideas to really resolve real-world issues of Information Evaluation.
Let me offer you a short overview of the course
- Half 1 – Excel for information analytics
Within the first part, i.e. Excel for information analytics, we’ll discover ways to use excel for data-related operations akin to calculating, remodeling, matching, filtering, sorting, and aggregating information.
We can even cowl the way to use several types of charts to visualise the info and uncover hidden information patterns.
- Half 2 – SQL for information analytics
IN the second part, i.e. SQL for information analytics, we might be educating you all the things in SQL that you will want for Information evaluation in companies. We are going to begin with fundamental information operations like making a desk, retrieving information from a desk and so forth. In a while, we’ll study superior subjects like subqueries, Joins, information aggregation, and sample matching.
- Half 3 – Preprocessing Information for ML fashions
On this part, you’ll study what actions you want to take step-by-step to get the info after which put together it for evaluation, these steps are crucial. We begin with understanding the significance of enterprise data then we’ll see the way to do information exploration. We discover ways to do univariate evaluation and bivariate evaluation then we cowl subjects like outlier therapy, lacking worth imputation, variable transformation, and correlation.
- Half 4 – Linear regression mannequin for predicting metrics
This part begins with easy linear regression after which covers a number of linear regression.
We have now coated the fundamental concept behind every idea with out getting too mathematical about it so that you just perceive the place the idea is coming from and the way it can be crucial. However even in the event you don’t perceive it, it will likely be okay so long as you discover ways to run and interpret the consequence as taught within the sensible lectures.
I’m fairly assured that the course will provide you with the mandatory data on Information Evaluation, and the skillsets of a Information Analyst to right away see sensible advantages in your office.
Go forward and click on the enroll button, and I’ll see you in lesson 1 of this Information Analyst Skillpath course!
Cheers
Begin-Tech Academy
Content material
Introduction
Excel Fundamentals
Important Formulation
Information Instruments
Excel Charts
Pivot desk and Pivot charts
Macros
SQL Introduction
Set up and getting began
Case examine
Basic SQL statements
Restore and Again-up
Part instructions: Filtering
Choice instructions: Ordering
Alias
Combination Instructions
Group By Instructions
Conditional Assertion
JOINS
Subqueries
Views and Indexes
String Features
Mathematical Features
Date-Time Features
Information Sort conversion features
Introduction to Linear Regression
Establishing Python and Jupyter Pocket book
Fundamentals of Statistics
Introduction to Machine Studying
Information Preprocessing
Linear Regression
Congratulations & about your certificates
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