If you want to start a career as a data analyst and are looking for the best online resources to master the fundamentals of data analytics, this article is for you. The need for data analysts is expanding quickly, which has led to an online course oversupply. Unfortunately, a lot of course offerings fall short of giving a comprehensive learning experience that covers the complete analytics pipeline. If you don’t know, IIM SKILLS Data Analytics Course brings the best learning material and resources. This is one of their professional certifications, which is likewise well-known and designed to teach in-demand tech skills.
What is Data Analytics?
The term data analytics refers to a broad variety of ideas and data-related procedures. It is a method for transforming basic facts and figures into specific actions through analysis of raw data assessments and perceptions in the context of organizational problem-solving and description-making. The intention is to help the company with choices and boost achievement.
Data analytics can be used by both businesses and people to find practical solutions to their conceptual issues. A profitable strategy might provide a more detailed plan for the future of your company. Here are some examples of how data analytics could be helpful to you.
- To create a strategy for action
- To evaluate the advantage of possible risk
- To look for fresh opportunities
- To recognize patterns and trends
Data Analytics is the study of analyzing data to make conclusions about it. Data analytics can be used by a business to boost efficiency, maximize profit, or produce more strategically smart decisions. Data Analytics techniques have been automated into mechanical processes and algorithms that work with raw data for the benefit of humans.
What is a Data Analytics Course?
Online courses or boot camps for data analytics are available to teach students the fundamental skills required to gather, arrange, analyze, and present data. Basic programming concepts are covered in courses using programs like Microsoft Excel and Tableau as well as languages like Python, R, and SQL.
To earn essential data analytics certification to begin their careers, all data analyst have to finish their course.
Many people believe that data analytics is a brand-new idea. However, analytics have been used by people since the 19th century, possibly even earlier. Although it first gained popularity in 1960 when people started using computers, it is now used in every business and there are millions of job listings all over the world. Data Analysis is the act of gathering, storing, modeling, and evaluating data that can support executive decision-making, and there has never been a bigger demand for qualified data analysts.
Many individuals believe that obtaining a career as a data analyst requires a college degree. As you may now access a wide range of online courses to develop the abilities required for this role, some of you may be unsure about which course to enroll in. As we have mentioned the best providers are IIM SKILLS, we have reviewed the IIM SKILLS Data Analytics Course, so you can make up your mind.
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About IIM SKILLS
IIM SKILLS is one of the top online education platforms in the world, partnering with 350+ hiring companies to provide a wide range of learning opportunities in finance, writing, marketing, and analytics domains.
It was founded by Mr. Vaibhav Kakkar in 2015 and has established itself as the leading provider at the global level with 35,000+ trained people across 35+ countries through their unique and rigorous training. Even if you are a complete newbie to the field or a professional who wants to advance your career, the services offered by IIM SKILLS are incredible.
You can learn any course at your comfort, there is no need to travel and worry about time management, as most of the lectures are online and held on weekends. You can access it from anywhere in the world with a stable internet connection. Their course delivery is beginner-friendly and covers both theoretical and practical aspects. You can visit IIM SKILLS’ official website for more information.
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IIM SKILLS Data Analytics Course Review
Overview
Get ready for a job in the rapidly expanding field of data analytics. With the IIM SKILLS Data Analytics Master Course, you will become job-ready in as short as 6 months by learning in-demand skills like Python, Excel, SQL, and more. No prior experiences are required.
You will learn the fundamental data skills required by business. It will not only help at the beginning of a data analytics career but also provide a solid foundation for further career advancement in the field of data. You will gain knowledge of the most recent and essential tools and techniques used by experts in the field of data analytics, including Python, Excel, SQL, R, and more.
With more than 160+ hours of instructor-led live online training, the data analytics course is a comprehensive online course. To obtain real expertise in data analysis and the use of analytical skills, you will work with a variety of data projects. It mixes theoretical concepts with 8 modules and practical learning through 100+ hours of practical assignments and 7+ live projects. Using various analytics tools you can lay the groundwork for data analytics and you can also work on case studies. You will have a portfolio of projects and an IIM SKILLS professional certificate that showcases your expertise when you finish the entire course.
Fees: The total fee of the IIM SKILLS Data Analytics Course is Rs.49,900 + 18% GST.
You may also be interested in a Data Science Course. Here are the details of the Data Science Course Fee And Duration.
Expert Faculty:
All IIM SKILLS instructor have extensive practical knowledge of the subjects they teach and they are actual authorities in their specialized field of study. They possess a wealth of knowledge and the necessary expertise to carry out an instruction. The majority of their trainers have a minimum of 7-8 years of experience. Their instructor is skilled in implementing the best aspects of instructor-led and on-demand training as well as building students’ curriculum, other training materials, and career guidance thanks to their significant industry exposure. They create technical information that is straightforward and simple to understand.
IIM SKILLS Data Analytics Course Curriculum:
Module 1: Data Analytics Using Advanced Excel
The first module starts with Excel which is the most important key of doing a data analysis. It’s a 9 hours of module, which is further divided into six subjects.
Topics covered:
- Introduction to Data Handling
- Data Visualization in Excel
- Data Manipulation Using Functions
- Data Analysis and Reporting
- Overview of Dashboards
- Create Dashboards in Excel – Using Pivot Controls
By the end of this module, you will understand the first part of data analysis with basic and advanced Excel. You will create Excel spreadsheets that can be used to create basic visualizations like lines, graphs, bar graphs, and pie charts and get to know the significance of charts in data visualization. This module will then go further in creating advanced charts and visualizations such as waterfall charts, thermometer charts, and population pyramids. In the last topic, you will discover how to use Excel Pivot to its full potential to visualize and analyze your data more effectively. You will also learn how to create dashboards using Pivot controls. This module is simple to understand and learn thanks to the step-by-step guides.
Module 2: Data Analytics Using VBA
Over 15 hours, this module is all about what VBA is, and the different functions of VBA You will also be familiar with proper error handling which is crucial in VBA to ensure the reliability of data analytics processes.
Topics Covered:
- Introduction to VBA
- Key Components of Programming Language
- How VBA Works with Excel
- Programming Constructs in VBA
- Using VBA’s Functions and Procedures to Modularizing Your Programs
- Objects and Memory Management in VBA
- Communicating with your Users
- Others
Module 3: Data Analytics Using SQL
After two modules, you will start to learn SQL in-depth in this module. This module is the longest so far, with an expected 39 hours of learning time.
Topics Covered:
- Basics RDBMS Concepts
- Utilizing the Object Explorer
- Data Based Objects Creation (DDL Commands)
- Data Manipulation (DML Commands)
- SQL Server Reporting Services
- SQL Server Integration Services
- Other
You’ll start by defining a relational database and installing SQL for Windows OS. You will then examine fundamental operations like establishing tables and filling those tables with data. Additionally, you will examine a wide range of SQL commands such as DDL commands and DML commands, and the instructor will show how to use indexes to speed up operations. When you are familiar with every command, you will start performing advanced examples.
Module 4: Data Analytics Using Power BI
This Power BI module will take 24 hours and is meant to empower participants on how to use the most popular data analytics tool. Complex concepts are described in a simplified manner to make the learner’s journey easier.
Topics Covered:
- Introduction
- Data Preparation and Modeling
- Add Rows, Remove Rows, and Go To Columns
- Data Analysis Expressions (DAX)
- Reports Developments (Visuals in Power BI)
Module 5: Data Analytics Using Python – I
Topics Covered:
- Introduction to Basic Statistics
- Introduction to Mathematical Foundations
- Introduction to Analytics and Data Science
- Python Essentials (Core)
- Operations with NumPy (Numerical Python)
- Overview of Pandas
- Cleansing Data With Python
In this 10-hour module, you will learn to perform calculations through basic statistical information, such as rank, variance, central tendencies, and frequency, and use those measures to understand data better. It will take you from basic data analysis with Python to exploring many different types of data models. You will delve deeper into the difference between data analytics, business analytics, data science, and their fundamentals. To import, modify, analyze, and visualize datasets, you will use a variety of Python libraries, such as Pandas and NumPy. To create machine learning models and predict the future, you will also use Scikit-learn, SciPy, and Matplotlib.
Module 6: Data Analytics Using Python – II
This module relies on the previous one which takes 10 hours to complete.
Topics Covered:
- Data Analysis Using Python
- Basic Visualization Tools
- Visualizing Geospatial Data
- Data Visualization with Python
- Advanced Visualization Tools
- Statistical Methods and Hypothesis Testing
Starting by learning different analysis techniques using Python, you will be familiar with the matplotlib library. It will teach you how to visualize data and create various plots using histograms, pie charts, area plots, and more.
Additionally, you will get to know about other visualization libraries Folium for geospatial data and advanced visualization tools such as waffle charts, word clouds, seaborn, and regression plots. At the same time, you will master topics such as the z-test, sampling methods, central limit theorem, and significance of distribution.
Module 7: Data Analytics Using Tableau
We are halfway through the course at this point. This module focuses more on Tableau, which is a data visualization platform. For 15 hours, you will walk through: an overview of Tableau, handling and using data in charts, bars, maps, and lines to tell a story through visualization.
Topics Covered:
- Getting Started
- Data Handling and Summaries -1
- Data Handling and Summaries -2
- Building Advanced Reports/Maps
- Table Calculations
- Calculated Fields
Module 8: R for Data Science
R is the first and only “real” coding language you will learn in this module, despite the importance of SQL and Tableau. With an expected 20 hours, it’s totally designed for complete beginners.
Topics covered include:
- Data Importing/Exporting
- Data Manipulation
- Data Analysis
- Data Visualization with R
- Using R with Databases
- Introduction to Statistics
- Linear Regression – Solving Regression Problems
- Testing
You will learn to perform data analysis, including data manipulation data visualization, and statistical analysis using R. This module will start with an introduction to R/R studio and data types, structure, exporting, and importing in theory. Every significant facet of statistical programming is addressed, including managing various data types, loops, charts, functions, and even graphs in data manipulation and visualization. Then, you will discover how to work with R’s most typical object kinds. Loops are given a lot of attention in R since they are a crucial part of statistical programming. It also demonstrated how looping may be accomplished using the applied family of functions. Lastly, this module also covers various statistical methods including Z/T-test, ANOVA, Correlations, and Chi-square and you will be solving regression problems through Linear Regression.
Module 9: Data Analytics Using Alteryx
Finally, you will spend 18 hours to complete this module. And you topics you will cover are,
- Introduction to the Alteryx course and Basic Concepts
- Changing the data type and renaming fields with the selected tool
- Understanding the user environment and Alteryx settings
- Remove from the data set
- Understanding Alteryx designer
- Connect to data sources
- Alteryx designer interface
- Set data field types
- User and workflow settings
- Remove and rename fields
- Filtering data/data processing
- S blending/joining data from different sources
- Filtering using string data
- Find a customer with 10 or more transactions
- Data entry, dynamic renaming, text to columns, and transpose
- Identify common data fields
- View how each record fits with the filter
- Data cleansing
- Impute values
- Random sample
IIM SKILLS Data Analytics Course Tools Covered:
All of the well-known and necessary data analysis tools that businesses use are covered in the IIM SKILLS Data Analytics Course. Get familiar with the software for analytics such as
- Excel
- Power BI
- Tableau
- Alteryx
Or you will learn top programming languages for data analytics to strengthen your data skills such as,
- Python
- SQL
- R
IIM SKILLS Data Analytics Course Case Studies:
In order to gain real-world experience before applying for a position as a data analyst, IIM SKILLS has included 10+ case studies that will enhance the theoretical and practical knowledge you have gained through eight modules to solve a real-world problem using data analytics skills.
Who is it for:
Anyone who wishes to advance their technical and programming skills while entering the analytics field should take this data analytics course. The best candidates for this course are fresh graduate students and professionals with a business background or bachelor’s degree in any discipline; however interested individuals such as banking, finance, marketing, sales professionals, or IT professionals can also apply.
No prior programming experience is necessary, though having a statistical and mathematics can be an added advantage but applicants should have a fundamental understanding of computers and technology before enrolling in the course.
Masters Certification:
After successfully completing the course, you will get Data Analyst Masters Certification, which has been credited by the government of India. It is also globally recognized so you can get work anywhere in the world. As IIM SKILLS is a well-known reputable institute, getting this certification can help you get your desired job in a big company.
Placement Assistance and Internship:
IIM SKILLS offers 2 months of non-paid internship after you finish the course. This particular placement cell makes an effort to help you assess your job possibilities. After the course is finished, IIM SKILLS will continue to assist you with resume and portfolio building, interview preparation, career guidance, and dedicated placement calls to boost your confidence so you can ace the interview for the career position you want.
How IIM SKILLS Data Analytics Course will help?
The Data Analytics Course at IIM SKILLS offers a comprehensive curriculum created by industry leaders. In the current market environment, this area of study has carved out a niche for itself, thus individuals wishing to make the jump to analytics will benefit from this course. Additionally, it offers hands-on and practical training, which is an added advantage because candidates can learn about concepts as well as implement those concepts using analytical tools.
This course will help you comprehend all of the key ideas and gain some practical skills while leading you in the direction of where you can delve in deeper when you find something you are interested in, whether you are looking to change careers or are already making your way into the world of data, this course can be used as references.
Data analytics are used by multinational corporations like Amazon, Shell, Netflix, and others to increase operational effectiveness. Exploring business performance and gaining insights to influence future business outcomes are made possible by mastering data analytics with Excel, Python, R, SQL, and other tools. After completing Data Analytics Course, you will be qualified to work as a data analyst for organizations all around the world.
| Contact Information | |
| Phone Number: | +91 9580 740 740 |
| Email ID: | info@iimskills.com |
IIM SKILLS Data Analytics Course: Frequently Asked Questions
Q. Does the training include practical applicants or is it primarily concept-driven?
The curriculum was created using suggestions from some of the top analytics companies and maintains a balance between theoretical knowledge and practical experience in IIM SKILLS’ program design. There are case studies, projects, and assignments. The learners would then receive an excellent certificate after completing exams with strong grades.
Q. Does IIM SKILLS provide course material?
IIM SKILLS will provide you with lifetime access to the Learning Management System (LMS). Their LMS includes pre-reading materials, PPTs, reading resources, and recorded sessions.
Q. What is the pre-requisite of the course?
The basic criteria to enroll in IIM SKILLS Data Analytics Course is,
- A bachelor’s degree in any field
- Fundamental knowledge of computers and technology
- Background knowledge of statistics and mathematics but not mandatory
Q. Do I need to download software to learn the course?
No, all you need is a stable internet connection and a browser, nothing needs to be downloaded. You don’t need to buy the software yourself since IIM SKILLS will teach you how to use the tools and technologies of data analytics using their special learning platform.
Q. What kinds of job opportunities are available after this course?
Candidates will have the knowledge and skill set necessary to perform analytical tasks including analyzing statistical data and looking into business issues after completing this data analytics course. As a result, job opportunities such as data analyst, business analyst, business intelligence engineer, and business intelligence analyst are among the available ones.
IIM SKILLS Data Analytics Course: Conclusion
That’s all about the review of the IIM SKILLS Data Analytics Course. While an IIM SKILLS data analytics course can help you on your learning path and give you the fundamentals in a variety of basic to advanced areas, but remember that more education and experiences will always be favourable in the job market. When looking for a future job, using the skills you gain throughout your online course to create a portfolio of data analytics projects or case studies will make you stand out. Considering the course content and hands-on learning, this course is definitely worth it.