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Top Data Analytics Classes for Beginners With Practical Training

Are you a data newbie? Do you struggle with managing data?  If you want to study a new skill in depth or just get a taste of it to determine if data analysis is the right path for you, start by reading this article. Everyone makes use of data. Your physical and online activities generate data, which is a valuable company resource. 94% of businesses regard data and analytics as essential to corporate growth. You will learn a lot about this approach in this article, Top Data Analytics Classes for Beginners, if you want to broaden your knowledge and advance your job.

Top Data Analytics Classes for Beginners

There is a growing need for experts who can transform data into useful insights as we move towards increased digitization. Data analytics beginners begin by understanding the various data kinds and how information is processed to yield relevant insights.

Introduction to Data Analytics:

Data Analytics:

Everyone appears to be discussing it, right? But what is it specifically?
In simple words, data analytics is a methodical strategy for making choices. It sounds quite basic! But in actuality, a “scientific approach” necessitates having a deep awareness of the intricacies surrounding data collecting, cleaning, and analysis.
In the meantime, “decision making” encompasses a wide range of activities, from assigning budgets to forecasting health consequences. Planning is key for everything here. By identifying what is and isn’t working, data analysis enables you to make the necessary modifications to reach your company’s objectives.

Data Analytics transforms raw data into useful insights. It involves a range of tools, software, and methods for leveraging data to spot trends and solve problems. Business processes can be shaped by data analytics, which can also enhance decision-making and promote company expansion. In order to portray a whole picture, data analysis must consider both qualitative (such as surveys and case studies) and quantitative (such as sales and profits) data.

Conclusively, the examination of data using quantitative and qualitative methods in order to find patterns and trends is called Data Analytics.

Also, read here the excellent and most-opted:

Why to Choose Data Analytics:

The internet has made it simple for anyone in this information age to access information whenever and wherever they need it. The future of work is in data analytics.

If you want to succeed in the knowledge-based culture that the digital era is promoting, you must do trend research. MNCs and start-ups rely on data for improved strategies.

Data Analytics is Important for Leading Organizations:

Enterprises are transformed by data analytics, which has an impact on marketing and decision-making strategies and techniques for both big and small enterprises.

Job Opportunities is Expanding:

Nearly every brand has a social media presence these days, and eventually every industry will require data analytics professionals. The Science and Technology Committee predicts 58,000 job creations and a wide range of economic contribution due to rising demand for data specialists.

Nearly every brand has a social media presence these days, and eventually every industry will require data analytics professionals. This makes it a smart career choice with potential for success in business. 

 

Professionals in Data Analytics Are Earning More Money

In comparison to other entry-level occupations, Prospects thinks that the starting salary for data analytics specialists is fairly high. After a few years of work experience, salaries can rise, and high-level consultants and professionals may earn £60,000 or more.

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It Offers Ideal Chances for Freelance Work

It’s also feasible to pursue a career as a lucrative data analytics consultant with some of the top businesses in the world. The work may be done from anywhere in the world as long as you have a reliable internet connection because it is primarily IT-based. You have the perfect opportunity to diversify your sources of income and maintain a positive work-life balance.

Opportunities to Work Across a Variety of Industries

In addition to the financial advantages that graduates may receive from the strong demand for data analytics, the big data boom has resulted in a plethora of brand-new job prospects for qualified workers. This can involve working in a variety of various fields, such as aviation or government, or data assurance,sales, marketing, finances , data quality , or higher education ,it might just mean getting to travel the world. It’s a remarkably exciting time to begin a career in analytics, with so many organizations wanting to use data to enhance their operations.

So, these factors influence people’s decisions to enroll in the top data analytics courses for beginners in order to advance their careers. 

Data Analytics Courses Enrollment:

There are many things to admire about a profession in data analytics, including how varied, difficult, well-paid, and full of opportunities for growth and advancement it is. People with a background in information management, corporate information systems, commerce, computer science, or other relevant professions who have studied these subjects or have prior experience are well-suited for data analytics positions.

People who are eager to learn and have a strong interest in data should choose Beginner Data Analysis. A basic comprehension of mathematics and a passion for problem-solving are prerequisites for this course. Additionally, people who are meticulous, have strong analytical abilities, and feel at ease with technology can do well in Beginner Data Analysis courses.

Best Data Analytical Tools:

The following tools are common in the industry and provide data analysts with a variety of capabilities for a variety of analytical tasks:

  • Apache Spark 
  • Splunk
  • Tableau
  • Power BI 
  • R and Python
  • Microsoft Excel 
  • KNIME
  • QlikView
  • RapidMiner
  • Talend

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Are Data Analytics Jobs in Demand:

Data analysts are in greater demand, but employment opportunities are becoming more scarce. You can improve your chances of getting hired as a data 

the field, acquiring experience, and personalizing your application materials.

The increased demand for data analysts is advantageous to newbies. If you have the necessary talents and can demonstrate them, there is nothing stopping you from getting a foot in the door. If you choose wisely to enroll in the top data analytics classes for beginners, the jobs are there for you to apply for.

In any organization, data analytics experts are essential. Data analytics are used by business executives to develop profitable growth plans for their organizations; as a result, their work is essential for top-level decision-making. The demand for professionals in data analytics will increase both in India and worldwide in the upcoming years.

An estimated 97,000 jobs in data analytics are available right now in India alone each year. The need for data analytics has resulted in a significant 45% increase in jobs in the Indian industry. Because of the steep learning curve and high skill requirements in the industry, there is an increasing shortage of skilled individuals. It would be wise to enroll in the best data analytics classes for beginners and earn certification. 

The growth of the data analytics and data science industries is being fueled by the expansion of global business footprints and the digitization of Indian enterprises. Professionals who can gather, examine, and assess vast amounts of data are anticipated to be in more demand.

According to several reputable job search engines, the Indian market now has at least 25,000 opportunities for data scientists and analysts. The job market is opening up providing a plethora of opportunities to professionals from the data analytics domain. By developing the necessary skill sets and becoming properly educated in the field of data analytics, students can outperform their rivals.

Must Haves to Grow as a Data Analyst: 

Data analysts are in significant demand because there is such a huge volume of data. By working with a mentor, interning, and developing practical problem-solving and data analysis abilities, you can obtain experience in a particular industry. These opportunities are priceless for potential future professions.

  1. Learn and expand your career by taking certification courses. Continuing education not only enhances your skills but also contributes to your overall success.
  2. Land a junior or entry-level data analyst job to enhance skills and career                                         progression.
  3. Choose The Right Education: To work as a data analyst, you must have formal training in the subject. There are currently a lot of certification programs available, both online and offline. If you want to get a good job, try to enroll in the top data analytics classes for beginners. 

If you’re motivated and passionate about data, becoming a data analyst would be a great career choice for you. Top data analytics courses for beginners are full of insightful Growing as a Data Analyst: Some Tips

Problem-Solving and Critical Thinking:

Data analysis calls for the application of logical reasoning and problem-solving skills. The ability to think critically is also necessary. You will be able to ask the proper questions, handle challenging situations, and come to meaningful conclusions based on the evidence if you have mastered the skill of analytical thinking.

You will be more successful if you keep an open mind, are adaptive, and are dedicated to learning more because the discipline of data analysis demands ongoing learning. Enrolling in one of the top data analytics classes for beginners would be very beneficial to your career.

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Data analytics specialists must understand:

  • Database query languages
  • Computer programming
  • Database management
  • Statistics

Data Analytics classes includes:

  • Calculus and Linear Algebra
  • Essential Statistics
  • Data Mining
  • Machines, Languages, and Computation
  • Modelling and Statistical Decision Making
  • Pattern Recognition
  • Visualization

Best Data Analytics Classes:

#1. IIM SKILLS

IIM SKILLS offers an intensive Data Analytics Master Course, focusing on data analysis, providing 6 months of training, 2 months of non-paid internship, and guaranteed internship and interview opportunities. With a carefully selected and created curriculum, the institute, which is known for its advanced professional courses, aids students in understanding the details of Data.  Additionally, you receive complete training for Google’s certification in data analytics.

Modules Covered:

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

Data Analytics course provides practical, faculty-led training, lifetime access to notes, slides, materials, and class sessions.

  • Course Name – Data Analytics Course
  • Course Duration – 6 months of Training + 2 Months Internship (Unpaid)
  • Course Fee – INR 49900 + 18 % Taxes

You are given a free demonstration to help you comprehend the complete course structure and how it is run. To gain desirable jobs as a data analyst, the training program aids in the development of your soft skills and strong communication abilities. This program stands out as one of the Top Data analytics classes for beginners.

Professional Courses from IIM SKILLS

Contact: +919580740740, [email protected]

# 2. Google Data Analytics Professional Certificate:

Google offers 222 courses on Coursera, including a data analytics course for beginner-level students. The course covers data usage, preparation, analysis, and insights, using R instead of Python. The final module covers case studies, portfolios, and job market guidance. The self-study course is online and can be completed while working.

There are no prerequisites for this flexible and reasonably priced course of study. This course is strongly advised for students who feel comfortable learning independently, without a live instructor, or with one-on-one guidance. Such features qualify it as one of the top data analytics classes for beginners.

Course Duration: This course can typically be finished in six months while studying at the suggested rate of 10 hours per week. Even full-time workers, nevertheless, could enroll in this course by decreasing the pace to a manageable level because deadlines and dates are fully adjustable.

Course Fee: Google Data Analytics course on Coursera costs $39 per month, completing in six months for under $300.

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#3. Dataquest: Data Analyst in R

Dataquest’s data analytics career path focuses on R programming, providing foundational knowledge, data cleaning, visualization, statistical analysis, and machine learning. The online, self-paced course offers 19 modules, allowing students to build a professional portfolio and earn a certification. This course can also be rated as one of the top data analytics classes for beginners.

Beginners as well as those with an interest in data analytics or the R programming language should take the course. All sorts of learners can take this online course because it is self-paced, but because it is paid for through a subscription, slower learners will have to pay more.

Course Duration: Five months, or 10 hours a week, are typically needed to finish the course. 

Course fee: Starting at $49 per month or $33 per month when billed annually, Dataquest offers access to this course as a subscription service.

#4. Data Analytics Bootcamp:

The Thinkful data analytics bootcamp is an entirely online program that offers participants access to live lectures, knowledgeable instructors, and one-on-one mentorship during the 4–6-month program. The course can either be finished in four months by working 50 hours per week full-time or in six months by working 20 to 30 hours per week part-time. 

Full-time students’ timetables will revolve around daily live online lectures and workshops from 10 am to 5 pm ET, while part-time students will attend independent, self-paced online courses. A 4-week self-paced prep course is also necessary for the full-time option to be finished prior to the start of sessions.

All the prerequisites for data analysts are covered in the curriculum, including:

The curriculum covers every aspect a data analyst has to know, including:

  • Tableau skills
  • SQL 
  • Advanced Excel skills
  • Python programming language
  • Statistical analysis

The course caters to beginner-level data analysis professionals, offering career advice and free exercises for trial before enrolling, with notable employers including Google, IBM, Amazon, and Twitter making it as one of the top data analytics classes for beginners.

Course duration: 4-6 months

Course Fee:  Approximately $12,250

# 5. Excel Skills for Analytics and Visualization Specialization by Coursera:

Any type of full-time or part-time learner can enroll in the course because it is entirely online, independent, and self-paced. Advanced topics like machine learning and statistical analysis are not covered in the course. Every individual who successfully completes the course will be given a certificate of completion.

On Coursera, Macquarie University offers a specialist Excel data analytics course that emphasizes the program’s data analysis and visualization features. The course is designed for people who have a basic understanding of Excel tables and formulas but have no prior experience with data analysis. Excel is still one of the most popular fundamental tools for data analysis, making it ideal for professionals who want to learn more about the subject and utilize it to inform their job.

Beginners with a basic understanding of Excel can join in this course, however prospective students can first choose a free Excel course to refresh their knowledge before enrolling. Students will use reading materials and recorded video lectures to advance their online training, so the program is entirely flexible and self-paced. There are also subtitles available in multiple languages in addition to English.

The course’s suitability for beginners makes it one of the top data analytics classes for beginners.

Course Duration: 4 months/3 hrs. per week

Course Fee   : Approximately $160.

#6. The Beginner Statistics for Data Analytics-Udemy

A course for learning the foundations of statistics for data analysis, Beginner Statistics for Data Analytics is suitable for beginners.

The fundamental concepts of mean, median, and mode in statistics will be taught to you. Inferential and descriptive statistics will then be covered.

Additionally, regression analysis will be clear to you. Also taught by the instructor are standard deviation and correlation. All of these tasks in this course are completed using Excel.

Who could enroll?

• People with no prior experience in statistics. 

These amenities make it ideal to be one of the top data analytics classes for beginners.

Pros-

  • You will receive a completion certificate.
  • Additionally, you will receive three digital resources and complete lifetime access to the course materials.

Cons: 

• The Regression Analysis section is not well described.

Course Duration: 3 hours

#7. The CareerFoundry Data Analytics program:

The CareerFoundry data analytics program may be a suitable option for beginners who want to adapt their studies around their own schedule. Participants will graduate from this extensive, online, self-paced program as a data analyst who is prepared for employment in anywhere from 5-8 months. Being a self-paced program, you can finish modules whenever it works for you, provided you reach specific milestones within the course’s overall 8-month time frame.

A dedicated mentor and tutor will be assigned to you, who will guide you through the modules and provide you with honest feedback on any assignments you complete.

  • Course Fee: $7,505 – 7,900 USD
  • Course Mode: Online
  • Course Duration: 8 months (15 hours per week, self-paced) 

Frequently Asked Questions related to Top data Analytics Classes for beginners:

Q1. What is the Process of a Data Analytics Course?

Data analytics courses aim to teach students specific learning outcomes, ranging from basic data analysis principles to detailed skills and tasks. These outcomes are delivered through various methods, such as live lectures, recorded video lectures, reading materials, surveys, hands-on tasks, discussion classes, mentorship, career specialists, and real-world capstone projects. The content is tailored to meet these learning outcomes and is designed to prepare students for success in their chosen field.

Q2. When looking for a job in data analytics, which is more important: experience or course certification?

Impressing hiring supervisors with relevant experience is a terrific approach to stand out, yet gaining experience typically happens after completing education. You must first enhance your skills with analytics tools if you want to contribute to an open-source project or get an internship so you can add experience to your resume. Courses are a wonderful method to do this. Don’t hesitate in enrolling yourself in one of the top data analytics classes for beginners.

Q3. What Typically Precursors a Data Analytics Course?

Data analytics courses may have different prerequisites, but for the most part, beginner-level courses don’t call for any special training or education. For this, one might enroll in the top data analytics classes for beginners stated above to increase their chances of succeeding.

Professional-level intermediate courses frequently require prior knowledge in Python, SQL, Excel, and other programming languages as well as other tools. Some courses additionally demand that students finish a prerequisite course prior to the start of classes.

Conclusion:

Data is expected to change how firms operate in all industries in the future. In light of this, it is acceptable to state that data analytics are developing as potential professional paths. Data analytics are in high demand as businesses depend more and more on AI, ML, and big data. Consider taking one of the courses in this field if you’re fascinated by numbers and would like to work with statistics and insights.

Check out the aforementioned Top data analytics classes if you want to advance more. 

Although learning data analytics can be difficult, I am convinced that it will take you to intriguing initiatives, side trips, and fortunate discoveries, whether you are learning analytics for a job or as a hobby.

 

 

Author:
Hi. I’m SANA AIJAZ, a former teacher with a passion for communication and language. I am currently residing in Saudi Arabia. While I enjoyed teaching, I realized that I wanted to explore new career opportunities that align with my interests and skills. That’s why I enrolled in a content writing course by IIM Skills to give my career a boost. I believe that the demand for digital marketing is on the rise, and I want to be part of the growing industry. My goal is to create engaging content that captivates audiences and drives business growth. In my free time I enjoy reading and writing, which has helped me hone my writing skills and develop a strong foundation in language and communication. I’m excited to take on new challenges and contribute my skills to the world of content writing.

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