The Data Analytics for Beginners Certification Program is the most favourable course for learners who want to start as a Data Analyst. Data analysis has various processes like inspecting, cleansing, transforming, and modelling data to discover useful information, inform conclusions, and support decision-making. This is the process of analyzing raw data and converting it into usable information to extract meaningful insights that can be used for informed decision-making. It uses different tools and techniques from maths, statistics, and computer science to solve problems and help find answers to historical trends and future predictions.
Let us understand some basics of data analysis before we begin with data analytics for beginners courses.
Why Did Data Analysis Come Into Existence?
The scientific observation proposed by Pierre Simon Laplace in 1820 had a common pattern of errors. This idea brought a revolution in data analytics, statistics, and mathematics. In the 20th century, the ecosystem of the technology matured. As a result, soon data analysis used statistics and mathematics to solve complex, real-life problems. Today it is one of the hottest jobs in the field of Technology.
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Who is a Data Analyst?
A data analyst typically collects, organizes, and studies data to provide business insight. The Data analysts also apply various tools and techniques for data analysis and visualization. They use tools such as Business Analytics to identify, collect, and migrate data to and from a range of systems.
They manipulate and link different data sets summarise and present data and conclusions in the most appropriate format for users. Data Analysts help organizations convert insights into actionable decisions that drive sustainable outcomes that address current and future needs.
What Are the Different Types of Programming Languages Used in Data Analysis Jobs for Beginners?
Data Analysts Work With Different Programming Languages Such as:
- R is a programming language used for statistical computing and graphical representation. This programming language is widely used to analyze and visualize data. R provides a large variety of statistical and graphical techniques and is highly extensible.
- Structured Query Language (SQL) is a programming language designed for data management in a relational database. SQL has a variety of functions that allow its users to Add, Delete, and Update records.
- Python is a popular programming language. A Python app can be deployed on a server to create web applications and also for data analysis and visualization. Data Analysis with Python is an essential skill for Data Scientists and Data Analysts.
- Power BI is a cloud-based business analytics service from Microsoft that enables anyone to visualize and analyze data, with better speed, accuracy, and efficiency. It is a flexible and powerful tool for connecting with and analyzing a wide variety of data.
What Are the Various Processes in Data Analysis?
There Are Different Processes of Data Analytics and Have Different Stages as Follows:
- Data Collection: This is the first step where raw data is collected from various sources and then stored for use. This can be in the form of structured data (like numbers) or unstructured (like descriptive texts)
- Data Processing: Once the raw data is gathered it needs to be cleaned and stored for analysis. It is then converted and organized to get accurate results from analytical queries. This is done by different approaches which are adopted depending on the computational and analytical resources available for data processing.
- Data Cleaning: Data cleaning involves the removal of any duplications, errors, and unwanted data from the raw data which will then be used for analytics
- Data Analysis: The raw data is analyzed and converted to usable form to ob actionable insights. Data scientists and analysts analyze data by using various techniques like statistical analysis, machine learning, and data visualization to find out patterns and trends.
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What Are the Different Types of Data Analysis?
There Are Four Different Types of Data Analysis:
- Descriptive Analytics – It helps to understand what is the state of data in its environment. It will help us find “what happened”. It will help us visualize the data in the form of pie charts, bar graphs, line graphs, tables, or generated narratives. By developing and analyzing key performance indicators (KPIs), descriptive analysis strategies can help track success or failures or track performance specific to an industry. Therefore, this can provide important insights into past performances.
- Diagnostic Analytics – It is a detailed analytic process that helps us to understand the reason for why something happened. They go deeper into the root causes of the outcomes and trends. The KPIs are scrutinized more deeply to find out what are the root causes for the situation and opportunities to improve. Descriptive analytics identifies anomalies in the data, for example, an unexpected change. Then they gather anomaly-related data and finally explain their cause by implementing statistical techniques such as drill-down, data discovery, data mining, and correlations to find relationships and trends.
- Predictive Analysis – This helps us to answer the question about what is going to happen in the future. It checks historical data to identify trends and determine accurate forecasts if there are chances of them to reoccur or change. In this analytics, techniques such as machine learning, decision trees, pattern matching, predictive modeling, and regression are used. In each of these techniques mentioned, computers are trained to find backward engineering processes to detect anomalies in the data.
- Prescriptive Analytics – It is a step ahead of predictive data. This tells us what should be done. The insights that are received from Predictive analytics give insights that help us to make data-driven decisions and suggest the most appropriate response to that outcome. The speciality of this technique is that it relies on machine learning strategies, graph analysis, simulations, complex event processing, neural networks, and recommendation engines that can find patterns in large data sets.
Once the data is analyzed, the data analyst makes inferences and conclusions based on the trends that they have found. The last and final step of data analytics is to communicate the findings to them clearly so that it is easy for them to understand.
This is often done by creating charts, reports, and visualizations. These reports are then taken to draw conclusions and build insights which are then communicated to the stakeholders and users.
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Why Should One Do Data Analytics for Beginners’ Courses in India?
The growing importance of data across industries compels businesses to seek experts who can translate complex datasets into actionable insights.
There are numerous training providers in India, offering a job-oriented Data Analytics for beginners course. The demand for these professionals in India is on the rise across industries such as IT, healthcare, finance, e-commerce, and telecommunications.
Organizations are increasingly relying on data to gain insights, optimize operations, enhance customer experiences, and drive business growth. The Indian government has recognized the importance of it and has taken several initiatives to promote its adoption.
Programs such as Digital India, Make in India, and Smart Cities are leveraging this data to drive innovation and improve governance.
Data analytics are valuable as more and more business sectors have started working with big data. This would mean that it is in high demand and people with analytical skills will be able to demand higher salaries and enjoy their pick on the available jobs.
Apart from the financial benefits the big data boom has also brought along with it a lot of opportunities for talented employees.
Data is becoming more important with the abundance of data available at our fingertips. Saying so, it is a perfect time for people with analytical skills to enter into the world of big data.
It is also important for the data specialist to know how to communicate complex information to those without expertise. Communication skills are important as they influence the decision-making process and enhance strong leadership skills.
What is its Scope in India?
The spectrum of applications of data analytics is broad. It is also used to detect and prevent fraud to improve efficiency and reduce risk of financial institutions. It goes beyond maximizing profits and provides critical information on health informatics, crime prevention, cyber security, and environmental protection.
The Internet of Things (IoT) devices collect meaningful data and are used as training data in machine learning. A lot of our kitchen gadgets use IoT devices to improve the cooking experience and manage supplies.
Eg. Smart refrigerators track user usage and can place orders automatically. Smart ovens allow users to control cooking times and temperature using smartphones.
The applications of data analytics for beginners course seem endless. More day-to-day data collection presents newer opportunities to apply in our everyday life.
What Are the Data Analytics Jobs in India?
Data analytics is a rapidly growing field and data analysts are in high demand with a wide range of job opportunities. It is estimated that 97,000 data analyst jobs remain unfilled annually and demand for these has created a 45% increase in data analyst jobs in the Indian market. The most common jobs are as follows:
- Data analyst
- Business Intelligence Analyst
- Marketing Data Analyst
- Financial Data Analyst
One can also find jobs on online portals such as LinkedIn, Indeed, Naukri, and different company websites to start with. Also, one can approach recruitment agencies to get connected with employers looking for data analysts. The average base salary for a data analyst in India starts from 6.5 lakhs which may vary depending on seniority, location in India, and other factors.
What Are the Types of Data Analytics Courses in India?
There Are Broadly Two Types of Courses:
Foundation courses provide a general overview needed to get started like
- Data wrangling and manipulation
- Data visualization
- Statistical analysis
- Programming languages like Python and R
- SQL databases
Specialized courses that deal with specific areas like
- Machine learning
- Big data analysis
- Business intelligence
- Data mining
- Text analytics
Other factors to consider are delivery format, cost, and time commitment.
Top 10 Data Analytics For Beginner Courses With Placements
1. IIM SKILLS
IIM SKILLS is the fastest growing Ed-Tech Company with its headquarters in New Delhi, India. It is one of the top listed companies that provide a wide range of skill development & finance-related courses. Data analytics master course is one of their most preferred courses.
The faculty of IIM Skills is highly trained and easily approachable beyond class hours. Learners have the option to opt out of the course if they do not like the data analytics for beginners course after attending the first live class.
Course Details:
Name: Data Analytics Course
Duration: 6 Months Of Training + 2 Months Internship (optional)
Fees: INR 49900 + Taxes
EMI: Interest Free
Certification: Yes
The course curriculum of IIM Skills is best designed & is fully practical-oriented. It has good reviews and feedback from learners coming from different industries and backgrounds. Learners get to do internships with IIMSkills after the course completion which makes them ready and confident for the industry.
| Fees | Duration | Best For | Certificate | Course Curriculum |
| Fees INR 49990 Rs. + 18% taxes.
Online |
6 months course with an additional 2 months of optional internship program | Working Professional | Yes | -Basic & Advanced Excel
-VBA, SQL & Python -Power BI |
Other Professional Courses from IIM SKILLS
- Financial Modeling Course
- Digital Marketing Course
- SEO Course
- Technical Writing Course
- GST Course
- Content Writing Course
- Business Accounting And Taxation Course
- CAT Coaching
- Investment Banking Course
Contact Information:
Phone No: +91 9580 740 740
Email id: infor@iimskills.com
2. Simplilearn
Simplilearn is an online certification platform that offers a digital skills training program. It is one of the top training institutes in India whose mission is to transform lives by empowering their learners via distance learning skills.
Students who do not have any knowledge of programming are guided through their course modules that cover, how to use SQL databases, R, and Python, develop visualizations, and use statistics and predictive analysis in a business context.
If learners want to master analytics, R, SQL, and even Python work better with data and statistics right out of the box. Their programs are designed with a lot of practical hands-on learning which gives learners an edge over others when it comes to applying for new jobs or promotions within their organization.
Their programs are delivered with world-renowned universities, top corporations, and leading industry bodies via their live online classes.
The demand for online digital job opportunities is growing day by day. Most companies are facing a digital skill shortage. Simplilearn aims to build this gap by building portfolios with some of the top universities and industry leaders.
Their university boot camps provide high-engagement learning with pre-recorded videos or through an applied learning approach. The data analytics for beginners course provided by Simplilearn is very popular for learners who want to upskill.
| Fees | Duration | Best For | Certificate | Course Curriculum |
| Fees INR 49,990 Rs. + 18% taxes. | 6 months course with an additional 2 months of optional internship program | Beginners and Working Professional | Yes | -Basic & Advanced Excel
-VBA -SQL & Python -R programming for Data Science -Power BI Tableau training -Data Analyst Masters Capstone |
Contact Information:
Phone Number: 1800-212-7688
3. IntelliPat
Master the skills of data analytics for beginners by learning through the Rotman data analytics program. This program will help you gain an in-depth understanding of SQL, Python, Excel, Power BI, Data warehousing, etc.
The course is designed carefully into 8 modules which help you to master the concepts. The learners get lifelong support and lifetime access to the course materials. The learners also get professional help to find lucrative jobs by conducting mock interviews and helping them create high-quality resumes.
| Fees | Duration | Best for | Certificate | Course Curriculum |
| INR 60,021 | 7 months | Freshers and Working Professionals | Yes | -Introduction to Data Analytics
-SQL for Data Analysis -Python for Data Science -Tableau Desktop 10 -Business Analyst -Capstone Project -Statistics and Probability |
Contact information:
Phone no: +91-7022374614
4. Imarticus Learning
Imarticus Learning provides high-quality education from premier universities around the world and develops rigorous programs that are experiential, valuable, and progressive. It primarily focuses on hands-on and experiential knowledge which can take your career to new heights.
They balance in-class learning and practical experiences. This institute offers a data analytics for beginners course, which is one of their best courses.
Their leading-edge curriculum covers fundamentals and more complex data science and analytics concepts. The module covers the basics of programming for students who do not have any prior experience in programming. Learners can learn programming concepts and implement those concepts to write efficient code.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| 6 months of classroom and live online training | Fresh graduates and early career professionals | Yes | -Foundation
Basic programming Excel -SQL -Python Programming -Statistics for Data Science -Machine Learning -Data Visualization with Tableau and Power BI -Specialization Track -Advanced ML Track |
Contact Information:
Phone Number: +91 9953 578 090
5. Analytix Labs
AnalytixLabs is one of the top-ranked data science institutes offering curated curriculums for students coming from various backgrounds. It leads learners of Data Engineering, Data Science, Artificial intelligence, and Business analytics to their desired job roles.
The PG Certification program by Analytix Labs covers an in-depth understanding of the most sought-after tools, techniques, frameworks, and algorithms.
For managers and other leaders who want to learn how data analytics for beginners course can enhance their problem-solving and decision-making process, this PG Certification is appropriate for them. They offer dual certification in collaboration with IBM which adds to the global credibility of their courses.
The AnalytixLabs is one of the best data science institutes which ensures end-to-end value-driven experience for its students. As a data analytics learner, this course would be a first step toward your successful career transition in the right direction.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 52,000 + Taxes | 4.5 months of fully interactive online / offline classroom training | Professionals | Yes | -Basic programming Excel
-SQL -Python Programming -Statistics for data science -Machine learning |
Contact Information:
Phone Number: +91 9555 210 007
6. Udacity
Udacity is an online tech education company and platform that offers topics including artificial intelligence, business analytics, cloud computing, and programming. It has 97 online programs and courses focussing on tech education and job-ready skills.
The course content for data analytics for beginners in Udacity is developed by in-house faculty and industry leaders.
The Data Analyst Nano degree program by Udacity will help the learners clean up messy data, uncover patterns and insights, make predictions using machine learning, and communicate their findings.
Udacity gives learners project-based assignments which are evaluated periodically to give feedback and if the project does not pass the learners are encouraged to resubmit it again. This iterative project-based learning helps learners to demonstrate and develop skills to handle complex data challenges.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 91, 396 | 3 months online | Professionals | Yes | Introduction to data analysis
Advanced data – Wrangling
Data Visualization with Matplotlib and Seaborn |
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7. Digital Vidya
Digital Vidya is an online platform recognized by the government of India which gives a head start to a newbie or analytics aspirant in the field of data science and analytics sector. Digital marketing is one of the most preferred and enrolled courses by learners for certification.
Their excellent quality and training have provided to get a partner with Google Microsoft, LinkedIn, Facebook, and NASSCOM.
The data analytics for beginners course here incorporates assignments, current case studies, and interactive online sessions, giving you industry-relevant projects to develop practical and analytical skills.
Most of the learners from Digital Vidya are early start careers, professionals, and corporates including CEOs & CIOs.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 12,500 + 18% GST | 16 weeks Online | Beginners | Yes | An Overview of Analytics Techniques and Data Science
Fundamentals of Excel Data Manipulation using Advanced Excel Data Analysis and Visualization using Advanced Excel SQL Power BI |
Contact Information:
Phone Number: +91 8468 002 880
8. Learn Bay
Learn Bay is an EdTech company that offers professional programs and online IT certification courses for working professionals. If you are interested in the programming aspects of data then LearnBay’s data analytics for beginners certification course is something you should do.
LearnBay also has a partnership with IBM & Microsoft which helps the learner to gain experience through, a capstone project in their Project Innovation Lab.
This course focuses only on utilizing SQL and Python programming languages to solve analytics challenges, both of which are the most listed skills in job postings.
The digital analytics for beginners course also has an alignment to domain specialization in BFSI, Healthcare, Marketing & HR, and supply chain. This domain exposure helps the learner to get informed on the latest trends and where they can apply for their future roles.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 79,000 (18% GST) | 5 to 6.5 months Online | Professionals | Yes | Preparatory Session
Python Programming Statistics Machine Learning SQL MongoDB Tableau Power BI Big Data and Sparks Analytics Time Series Excel |
Contact Information:
Phone Number: +91 7795 687 988
9. Edvancer
Edvancer is an online platform that offers 6 certification courses in data analytics for beginners and related subjects including advanced data analytics certification and advanced certification in AI and machine learning.
These courses help students to master through hands-on training, industry-focused and cost-effective and include faculty-led sessions, email forums, and scheduled calls to help students with Q&A.
Edvancer Offers 3 Options for Learning to Learners:
- Live Online only
- Self-Paced + Faculty Support Learning
- Hybrid Mode (50% Online + 50% In Campus)
Edvancer gives learners projects in the industry of healthcare, BFSI, Retail, and Real Estate which they can include in their resumes.
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 69,990 | 180 hrs. Live online and self-paced class | Beginners with Non-tech background | Yes | Predictive Analysis
Data Visualization Data Analysis |
Contact information:
Phone no: +91 8080928948
10. IBM
IBM is a software and hardware company with operations in over 170 countries. IBM integrates technology and expertise for clients as they pursue digital transformation. IBM data analytics for beginners program is designed for beginners which includes 9 modules over 10 months to become a data analyst.
The Data Analyst professional certification program by IBM is delivered through the learning platform Coursera. Learners get to develop skills in Cognos Analytics, Dashboards, Data Analysis, Data Science, Data Visualization (Data Viz), Hands-on Capstone Project, IBM Cognos, Jupyter Lab Notebook, Microsoft Excel, Python, SQL, and Spreadsheet.
The learner gets a badge from IBM known as the IBM Badge if the learner fulfils the following criteria in the certification course.
- Completes all 8 courses along with a professional certificate
- Completes the IBM Data Analytics course from IBM Coursera
| Course Fees | Duration | Best for | Certificate | Course Curriculum |
| Rs. 21,000 approx + taxes | 10 months online | Freshers and Professionals with 1-2 year experience | Yes | Data science basics
Python Programming Excel IBM Cognos analytics Dashboards SQL Numpys Pandas |
Frequently Asked Questions FAQ
Q. What is the role of data analytics?
The role of Data analytics is to make sense of all the data by uncovering hidden insights and trends, informed decision-making, optimizing performance, and managing risks.
Q. What are the types of data analytics?
There are 4 main types of data analysis which are descriptive, diagnostic, prescriptive, and predictive analytics. Which data analytic type should be used depends on the data analyst is trying to answer. For example, a data analyst would use predictive analytics if he wants to look into the history of data and wants to find out what would happen in the future.
Q. What are the analytical tools used in data analytics?
There are various tools used in data analysis. Some data analysts use business intelligence software, such as Tableau, SQL, or Python which has various statistical and visualization libraries.
Q. Are courses in data analytics in demand?
As more and more businesses intend to hire data analysts, there will be a demand for these courses. Data analytics for beginners will rank among the most in-demand professions.
Q. How much time does it take to complete a course in Data Analyst?
The data analytics course generally lasts between 6 months to 3 years. The course length would depend on the course syllabus, the institution, and method of instruction.
Q. What is the salary for a data analyst who has done the course?
A data analyst can get a salary of about INR 4,10,000 annually depending on the location where he is working, the employer, and his abilities.
Q. What are the minimum requirements for taking this online Data Analytics certification in India?
There are no prerequisites for taking online certification courses in India. However, the learners would benefit from having basic knowledge of data analysis, statistics, and probability.
Conclusion:
This article on Data Analytics for beginners gives you comprehensive information about data analytics courses, which learners can use to decide which institute will provide them maximum benefit.
The content is organized with details of the course fees, certifications, duration, and the course curriculum. This will help learners decide on which data analytics course to enrol in.