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Top 7 Data Analytics Courses with Excel With Live Classes

Did you find it shocking to find many students googling “Top Data Analytics Courses with Excel”? If yes, let me tell you something. Don’t be, because Excel is considered an important tool that is useful for many data-related functions in an organization, and it is even more common for learners to apply for courses that have Excel as part of their curricula. No wonder you never hear data and Excel separately. The inclusion of Excel and programming languages in programs is necessary to make learners like you ready to face the corporate world. If you are an aspiring data analyst in search of a list of the top data analytics courses with Excel, here is the content for you.

Top Data Analytics Courses with Excel

Top Data Analytics Courses with Excel

Learners and most professionals prefer online platforms to learn and acquire skills and knowledge. This is why the details of the online Top Data Analytics Courses with Excel are mentioned below.

  • Data Analytics Master Course by IIM SKILLS
  • Business Analytics with Excel: Elementary to Advance by Coursera
  • Data Analyst course by Simplilearn
  • Data Analytics Course by Intellipaat
  • Data Science & Analytics Bootcamp by upGrad
  • Postgraduate Program in Data Science and Analytics by Imarticus

IIM SKILLS

IIM SKILLS: is an institute that is well known for upskilling career programs. It has students from all over the globe. Its Data Analytics Master Course is categorized under Top Data Analytics Course with Excel. The learners will get an opportunity to be interns in a 2-month non-paid internship. Students with a bachelor’s degree from any domain are eligible to apply to the course. 

Course duration: 6 months

Course fee: Rs. 49,900 + Taxes.

Download the list of tools covered in the course

Data Analytics Course Module:

Module NameImportant Topic
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 Highlights

  • Master Certification
  • Tools driven Training
  • Lifetime access to the learning platform
  • 24×7 support
  • Practical learning

 

Other Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

Find out here the advanced courses for faster learning:

Coursera:

Coursera offers one of the Top Data Analytics Courses with Excel. Over 1,20,000 learners have enrolled in the course and availed of its benefits. Joining the program will help you gain a few essential skills such as business analytics, spreadsheet, Microsoft Excel, solver, and Modeling.

Course Curriculum

  • Best Practices and Basics of Excel
  • What-if Analysis using Excel
  • Usage of regression and NPV for decision analysis
  • Linear programming
  • Assignment and transportation problems
  • Nonlinear programming and integer programming

Course Highlights

  • Shareable certificate
  • Assessments and quizzes
  • Subtitles for better understanding

Course Duration: 3 weeks

Course Fees: Free

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Simplilearn:

Simplilearn is a kind of education provider that is accessible to every learner with an internet connection. The Data Analyst course offered by it is considered one of the Top Data Analytics Courses with Excel. One main reason for choosing this program is its recognition as the number 1 institute offering the best data analytics courses. The award was given by an entity called Career Karma.

Course Curriculum

  • Business Analytics using Excel.
  • SQL
  • Data Analytics with Python and Programming Basics 
  • R Programming for Data Science
  • Data Analytics with R
  • Tableau Training
  • Masters Capstone Project
  • Master certification

Electives include Power BI and Industry Master Class

Course Highlights

  • Capstone Project
  • Over 20 industry projects
  • Professors from IBM enter the online platform to clear the students’ queries.
  • IBM Hackathons

Course Duration: 12 months

Course Fee: Rs.54,000

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Intellipaat:

Intellipaat is an online training institute. It has many education programs on its platform. Its Data Analytics Course is listed in the Top Data Analytics Courses with Excel. Faculty of IIT Madras along with other industry experts will teach the students various concepts of data analytics.  This course is carried out with IITM Pravartak, as partners.

As a learner, you will get an opportunity to master data wrangling, Power BI, data mining, and other crucial topics. 

Course Curriculum

  • Preparatory Sessions – Data Transformation with the use of Python and MS Excel 
  • Data wrangling with SQL
  • Presto
  • Basics of Statistics and Data Science
  • Business Storytelling, Insights, and Problem-Solving
  • Optimization Techniques
  • KNIME
  • Machine Learning and Statistics with the Use of R Programming
  • Predictive Modeling
  • Time-Series Forecasting
  • Feature Engineering
  • Advanced Techniques of Machine Learning 
  • Execution Strategy of Data Science 
  • Business Case Studies
  • Visualization with the use of Power BI
  • Data Science Capstone Project

Course Highlights

  • SQL Certification
  • Power BI Certification
  • Certificate of course completion from IITM Pravartak and Intellipaat

Course Duration: 7 months

Course Fee: Rs.100,035

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upGrad:

upGrad is a famous online coaching center. It has facilitated over 70,000 career transitions so far. Do want to know why this program is listed in Top Data Analytics Courses with Excel, if yes, see below.

Course Curriculum

  • Programming and Excel Concepts
  • Data Analysis
  • Python and Machine Learning
  • Data Engineering
  • Deep Learning and NLP
  • Data Algorithms and Structures

Course Highlights

  • Performance Report
  • Case studies
  • 20+ projects
  • Course Completion Certificate from Golden Gate University, California
  • Facility to pay a partial amount of fee after placement

Course Duration: 6 months

Course Fee: upfront – INR 70,000 + GST, after placement – INR 48,000 (upfront fee) + 8% of CTC

Also, read here the excellent and most-opted:

Imarticus:

Imarticus is a platform to provide a range of courses which include postgraduate and certification programs. One of the Top Data Analytics Courses with Excel at Imarticus is Postgraduate Program In Data Science And Analytics.

As a student, you will learn to build your data analytics and science career with the help of this course. Early career professionals and fresh graduates can avail of this program for the best results. Trainees in this program can become data scientists, data analysts, business analysts, business intelligence specialists, business analytics professionals, analytics managers, data science consultants, or machine learning engineers. 

Course Curriculum

  • Foundation – Basics Programming
  • Core Track – Excel, SQL, Python Programming, Statistics for Data Science, Machine Learning, Data Visualization with Power Bi and Tableau
  • Specialization Track – Advanced ML Track, Capstone Project, and Career Services. 

Course Highlights

  • Job Guarantee
  • Resume Building
  • Profile Enhancement
  • Interview Prep
  • Career Monitoring

Course Duration: 6 months

Course fee: ₹ 2,25,000

 

Henry Harvin:

Henry Harvin is an award-winning education provider. It has trained over 4 lakh students through various courses to date. The Post Graduate Data Analyst Program is created for aspiring data analysts all over the world. Students who avail of this program will acquire essential skills required for a data analyst, applications architect, infrastructure architect, enterprise architect, data engineer, and data engineer role.  

Course Curriculum

  • R programming
  • Python Programming
  • Natural Language Processing
  • Statistics & Probability
  • Power BI
  • Tableau
  • SQL Developer
  • Big Data Hadcop
  • Industry 4.0
  • Computer Vision Course

Popular Data Analytics Careers

Don’t you think it is important to know the career opportunities for a person who completes a data analytics course? It is important to know about the range of options to explore and choose one for your career health. 

  • Data Scientist
  • Business Intelligence Analyst
  • Data Engineer
  • Business Analyst
  • Marketing Analytics Manager
  • Financial Analyst
  • Quantitative Analyst
  • Risk Analyst
  • Data Governance Analyst
  • Data Visualization Engineer

Data Scientist:

Believe it or not, many students choose to become data scientists. The main reason behind the same is the opportunity to understand and analyze data on a deeper level. The ultimate goal of a data scientist is to provide actionable insights to the management. 

Job Responsibilities 

  • Collection of large data sets to analyze and interpret them. 
  • Using machine learning and statistical techniques to identify trends and patterns in the data
  • Making predictions to help the management in informed decision-making.

Required Skills

  • Background in statistics, mathematics, or computer science
  • Proficient in Python, R, SQL, or any other relevant programming languages. 

Must Check,

Business Intelligence Analyst:

It is a fact that business intelligence analytics is a field that can help organizations in making data-driven decisions by using data analysis. As a business intelligence analyst, you will be requested to use a range of techniques and tools for extracting insights from selected data and make it presentable for decision-makers allowing them to take necessary actions. 

Job Responsibilities

  • As a business intelligence analyst, you have to collect and analyze data to assist the management in making better decisions for the improvement of the business.
  • Your employer will assign you the task to use data visualization software for the presentation of data to allow the non-technical stakeholders to understand it. 

Required Skills

  • If you are aiming to be a business intelligence analyst, make sure to have an educational background in business-related fields. 
  • Expertise in using data warehousing along with BI tools like Power BI and having knowledge in the usage of Excel, Tableau, and SQL can make your career journey easy.

Data Engineer:

There is no need for you to be confused about the right field that allows you to become a data engineer. Data science is considered the appropriate choice apart from data analytics for students who aspire to be data engineers. This is a technical profile that bridges the gaps between application developers, traditional data science positions, and software. 

Job Responsibilities

  • A data engineer has the responsibility to design and build systems and infrastructure that support data storage, collection, and analysis. 
  • You will be accountable for the management and maintenance of large databases and data sets
  • Your supervisor may also tell you to ensure that the data is accessible, secure, and accurate. 

Required Skills

  • The key skills that can open doors to a data engineer profile are strong programming language skills like Java, SQL, and Python. 
  • Holding an experience in big data technologies like Spark and Hadoop is a plus for carrying out the responsibilities of a data engineer.

Business Analyst:

Do not get confused between a business intelligence analyst role and a business analyst role. Both are two different career paths. Though both roles focus on activities related to data analysis such as data collection and visualization to identify pain points to generate reports, business intelligence analysts are known to use descriptive analytics for the same while business analysts take the help of predictive, prescriptive, and diagnostic analytics. 

Job Responsibilities

  • If you are a business analyst, your day-to-day tasks include the identification and analysis of business opportunities and problems. 
  • Your other important activity would be to improve business performance and processes by developing solutions.
  • You should also learn to communicate with stakeholders for gathering their requirements and thereby provide them with recommendations

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Experience in project management
  • Excel, Tableau, and SQL

Marketing Analytics Manager:

Marketing Analytics Managers are professionals whose duty is to use analytics and data to optimize and inform marketing strategies. If you are a marketing analytics manager, you will be asked to collect and analyze data on areas such as marketing campaign performance, market trends, and consumer behavior to find out insights and thereby enhance the quality of marketing efforts.

Job Responsibilities

  • Informing marketing strategies by collecting and analyzing data
  • using the required information collected from different sources to improve the marketing campaigns
  • Interacting with stakeholders to gather their requirements and thereby provide recommendations.

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Experience in using marketing analytics and data visualization tools
  • Excel, Python, R, and SQL

Financial Analyst:

A financial analyst is usually known for having excellent data-oriented and quantitative skills to analyze data, communicate insights, create forecasts, and predict outcomes. 

Job Responsibilities

  • If you want to become a financial analyst, be prepared to collect and analyze financial data and make business decisions.
  • One of your primary duties will be to identify patterns and trends in financial data
  • Upskill yourself to develop financial models and forecasts

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Experience in creating financial modeling and data analysis
  • Excel, Python, R, and SQL

Quantitative Analyst:

A Quantitative Analyst works in areas like portfolio management, trading, and risk management.

Job Responsibilities

  • They will use statistical and mathematical techniques to model economic and financial systems..
  • They are also responsible for analyzing trends and patterns in data
  • You will develop and implement quantitative investment strategies as part of your job profile. 

Required Skills

  • Strong problem-solving and analytical skills
  • Background in quantitative or mathematical fields like mathematics, engineering, or physics 
  • Experience in using programming languages like Python and R

Risk Analyst:

The job of a risk analyst is to detect, assess, and solve risks that have the capacity to negatively impact the business. It means if you are a risk analyst, you will utilize a range of techniques and tools for the evaluation of the potential impact of risks and accordingly develop strategies for mitigating them. If you are searching for an interesting job, then this is the right role for you. 

Job Responsibilities

  • As discussed earlier, you should identify and assess potential risks for an organization.
  • Your manager will assign you the duty to develop and implement management strategies
  • Interacting with stakeholders to gather their requirements and thereby provide recommendations

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Experience in managing risk and conducting risk analysis
  • Python, R, and SQL

Data Governance Analyst:

Professionals who assist organizations in ensuring their data is consistent, accurate, and compliant with regulatory and legal requirements are data governance analysts. They are hired by organizations to establish procedures, standards, and policies for data management. In simple words, they are responsible for making sure that the organizations are following rules and regulations set by regulatory bodies.

Job Responsibilities

  • You will be accountable for implementing data governance procedures and policies
  • Ensure that the company’s data is accessible, secure, and accurate.
  • One is obligated to communicate with stakeholders and collect their requirements for providing them with recommendations.

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Experience in managing and governing data
  • Python, Java, and SQL

Data Visualization Engineer:

This is a new role emerging from the data analytics field. The Data Visualization Engineer is assigned with a duty to design, develop, and maintain data visualization dashboards and systems. They are provided with a range of technologies and tools to create visually appealing and interactive data presentations that will allow users to easily understand complex data. 

Job Responsibilities

  • They should design and develop appealing and interactive data visualizations.
  • They must use data visualization tools and software for presenting data in a simple manner to help non-technical stakeholders understand it
  • Interacting with stakeholders to gather their requirements and thereby provide recommendations.

Required Skills

  • Strong problem-solving and analytical skills
  • Excellent presentation and communication skills
  • Familiar with data visualization tools like Tableau and R Shiny along with experience with related software
  • Python, Java, and SQL

Conclusion

Data analytics is a trending field, and people are going crazy for courses with the domain of data analytics. Finding relevant courses, especially the Top Data Analytics Courses with Excel, is not an easy task. No wonder, many individuals randomly pick tutors and keep their careers at their feet. Joining a reputed and reliable education provider is underrated. Learning about the details and enrolling in the best program is the quality of a smart student. Are you a smart student who picks one of the below-listed top data analytics courses with Excel and thrives in the industry?

  • Business Analytics with Excel: Elementary to Advanced by Coursera
  • Data Analyst course by Simplilearn
  • Data Analytics Course by Intellipaat
  • Data Science & Analytics Bootcamp by upGrad
  • Data Analytics Master Course by IIM SKILLS
  • Post Graduate Data Analyst Program by Henry Harvin
  • Postgraduate Program In Data Science And Analytics by Imarticus

 

FAQs

Q. Is there a list of three Top Data Analytics Courses with Excel for me?

Yes, below are the most commonly availed data analytics programs that have Excel as part of their curricula. You have the freedom to join any of the courses as per your personal and career goals. 

  • Data Analytics Course by Intellipaat
  • Data Science & Analytics Bootcamp by upGrad
  • Data Analytics Master Course by IIM SKILLS

Q. What makes IIM SKILLS different from other institutes in terms of data analytics courses?

Just like many students and professionals, you have the same question, and it is important for me to give an answer to help you lead a peaceful life. IIM SKILLS, unlike many education providers, offers access to learning management systems and includes VBA and Alteryx as part of their curricula. These things make it stand out among the rest. 

Q. What am I supposed to do as a data analyst in an organization?

Your primary duties would be to collect data for data analysis and derive insights from it and help management in making informed decisions for the growth of your organization. You will also be expected to use certain kinds of tools and methods to extract and handle data from different sources. Data mining and data wrangling are some of the common methods used in data analysis.

 

Anuja Maniyala is a intern at IIM SKILLS. She worked as a creative content writer for AADOX and Quoteslyfe in the past. She has identified her passion for writing after working as a banker in some well-known companies like Wipro and HSBC. Her current target is to become an author of a unique and creative self-help book. Her enthusiasm and curiosity to learn about the human mind and behavior makes her different from the rest of the world.

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