In simple terms, “data analytics” is nothing more than the examination of information that has been obtained for a certain purpose. As an illustration, imagine that an ice cream shop owner asks each client which of the two flavors they prefer, Vanilla or Chocolate.
He gathered all the information and can give his customer a 10% discount on the flavor they find the most appealing. Or he could utilize this analysis as a marketing tool. This is possible as he gathered data from his customer and do an analysis of the data.
Steps to Follow for Data Analytics-
To understand how the process works, we have to look at the steps involved in Data Analytics. These steps help the organization handle millions of data and e-commerce businesses. Data analytics figures out the problems that may affect the information and drive solutions for the business.
1. Puzzle out the problem- First and most important thing is to understand what the problem is, and why is it occurring, so that decisions can be made accordingly. For example, e-commerce companies experience problems with sending correct orders, cancellation of an order, return of orders, product recommendations, fraud identification, updating vehicle routing, and many more. To solve such issues prediction of the problem is crucial.
2. Data collection- Concerning the previous example, after understanding the problem the next step is to collect the data for reference. For that, the organization may know the customer’s correct address, and the transaction made. The organization should have the customers’ proper details from past purchases. That data may have information on the total number of units sold for that particular product, its sales, profit made, and when and where the orders are placed.
3. Data cleaning– After this collection, the analytics team’s next step is to clean the data, which means refining the information about the particular customer or issue. The unwanted data and ad-hoc data are refined. All the disorderly, messy, and missing values that are not suitable for performing data analysis are removed. Hence, clean data is now available.
4. Exploration and Analysis of Data- With all the raw data collected and refined the next important step is the execution of exploratory data analysis. The data collected is visualized with business intelligence tools, and data mining techniques, and it is then analyzed by predictive modeling to visualize and predict future possibilities. These methods are applied to gain knowledge of the impact and relationship of any feature in comparison to another variable.
Some results that can be drawn from Data Analytics are-
- Predict when a customer will purchase the next product
- The period of delivering the product
- Better insights of customers looking for the same product
- Prediction of sales and profits for next quarter
- By dispatching relevant products, product cancellations can be minimized
- Figuring out the shortest route to deliver the product
- Create contacts with the best-delivering partners
5. Result Interpretation- Finally, the results interpreted can be validated if the outcomes meet the expectations of the organization. This will help to figure out hidden results and patterns of consumer behavior and will support appropriate data-driven decision-making.
IIM SKILLS is one of the most leading and very popular online leaning platform that offers skill development and finance courses. Their data analytics courses in one the most recommended course.
Course Modules as Below:
Module 1: Basic and Advance Excel
- Introduction to Data Handling
- Data Manipulation Using Functions
- Data Analysis and Reporting
- Data Visualization in Excel
- Overview of Dashboards
Module 2: Visual Basic Application
- Introducing VBA
- How VBA Works with Excel
- Key Components of Programming Language
- Programming Constructs in VBA
- Functions & Procedures in VBA
- Objects & Memory Management in VBA
- Error Handling
- Controlling Accessibility of Your Code
- Communicating with Your Users
Module 3: SQL
- Basics RDBMS Concepts
- Utilizing the Object Explorer
- Data Based Objects Creation (DDL Commands)
- Data Manipulation (DML Commands)
- Accessing Data from Multiple Tables Using SELECT
- Optimizing Your Work
Module 3.1: SQL Server Reporting Services
- Basics of SSRS
- Creating Parameters
- Understanding Visualization
- Creating Visualization Using SSRS
Module 3.2: SQL Server Integration Services
- Understanding Basics of SSIS
- Understanding Packages
- Creating Packages to Integrate
- Creating Project Using SSIS
Module 4: Power BI
- Introduction
- Data Preparation and Modeling
- Data Analysis Expressions (DAX)
- Reports Development (Visuals in Power BI)
Module 5: Data Analytics Using Python
- Introduction to Basic Statistics
- Introduction to Mathematical Foundations
- Introduction to Analytics & Data Science
- Python Essentials (Core)
- Operations with NumPy (Numerical Python)
- Overview of Pandas
- Cleansing Data with Python
- Data Analysis Using Python
- Data Visualization with Python
- Statistical Methods & Hypothesis Testing
Module 6: Tableau
- Getting Started
- Data Handling & Summaries
- Reports Development (Visuals in Tableau)
Module 7: R For Data Science
- Data Importing/Exporting
- Data Manipulation
- Data Analysis
- Using R with Databases
- Data Visualization with R
- Introduction to Statistics
- Linear Regression: Solving Regression Problems
Module 8: Alteryx
- Overview of the Alteryx Course and Fundamental Concepts
- Using the Select Tool to Rename Fields, Change the Data Type
- Understanding the User Environment and Alteryx Settings
- Filtering Data/Data Processing
- Blending/Joining Data from Different Sources
- Data Cleansing
- Impute Values
- Random Sample
Course Details:
Course name: Data Analytics Course
The course is covered under the duration of 6 months comprehensive training and 2 months of optional & unpaid internship.
Course Fees: INR 49990 + taxes
Eligibility Criteria:
Anyone who is fresher, UG, graduate, post graduate or from any professional level of background is applicable to apply for the course.
Tools Covered in the Course:
- R
- Python
- Power BI
- Tableau
- SQL
- Excel
- Alteryx
Why Should You Choose IIM SKILLS:
- All the courses by IIM SKILLS are 100% certified and globally recognized.
- The course curriculum is personally designed and structured by their mentors who come with years of experience & are all industry experts.
- They provide 24*7 support and career building guidance.
- Free learning material lifelong
- The course is practical and tool oriented.
- All the courses are online which gives all the applicants flexibility in learning and flexible scheduling.
- 100% assured internship
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