Data analytics has become a rapidly growing profession and the demand has increased a lot for this. There are different ways to perform data analysis in many groups and organizations that you will learn in this article. Before going into depth about data analytics courses in Bangalore, let us learn more about data analysis.
It can be explained as the science of analyzing raw data to make conclusions about the information. It refers to analyzing data for knowing the business/company status so that they can improve their productivity and profits. In simple terms, it can be explained as a mechanical process, and algorithms that are in the raw process are converted into data for human understanding.
Data analytics is the science of analyzing raw data to understand the information. It also helps a business to promote its efficiency, increase profits, and to take better decisions for the business/company. It is a technique and process of converting the mechanical process and algorithms of raw data into human consumption.
It uses different software tools for the transfer of raw data. Some of the tools are spreadsheets, data visualization, reporting tools, data mining programs, or open-source language.
How Data Analytics Courses in Bangalore Impact and Helps to Improve Business Decisions.
It is a method of analyzing exam sets to find trends and draw conclusions about the information they contain. It takes all the raw data of the company and provides data to human communication and understanding so that they decide on companies performance and the making of profits.
Data analytics is important because it helps business to optimize their performances. Gaming software companies use this data analytics to set rewards for players that keep playing and be active in games. Sometimes due to huge sales and multiple sales applications, the business is likely to have more access to the sources of data which includes marketing, and financial data extracts in an excel file or a document format.
Data analytics needs to be used depending upon the company and business which may vary upon their development, most companies are using some sort of data analytics. Moreover, companies and businesses are using data analytics solutions with machine learning capabilities to make business decisions and make up profits when there are opportunities and trends.
Companies/business and organization which do not use any data analytics with future casting and proactive may find their performance lacking because they uncover hidden things and gains others.
Types of Data Analysis
There are different types of data analysis – diagnostic analysis, predictive analysis, prescriptive analysis, and statistical analysis. They are modified into two categories, they are descriptive and inferential. And last is text analysis. So some of them are explained below.
So every organization has targets and reviews every month or yearly. So this is one of them where what has happened within a given period. Has the sales and views increased? It includes the central tendency which is mean, median, quadrilles, and mode, and the second one is variability or spreads which includes the range, inter-quarterly range, and percentiles.
So this is one of the data analysis categories that is more focused on why this happened. This involves data input and is a bit of an issue. Did the weather affect the sales of products? Did advertisement impact sales? etc. It includes discovering and alerting, and queries and downs.
It is also one of the types of data analysis in which it helps the organization through past data and historical data which brings out the future performance, outcomes, identities, risks, and opportunities. The significant factors of predictive analytics are Prediction accuracy, speed of predictions, and model learning rate.
The predictive analysis comes out as prescriptive and it also depends on AI and big data to help us to categorize the outcomes and actions that need to be taken. We can test the variables so that we can decide what if we do this, the outcome, and what if we take this action, happens.
Importance of Data Analysis:
To have better growth in the organization, business, and company, data analysis is important. Some of the important points are:
More Accurate Data:
To have a better decision and better performance of the company, you need data that is more to it. The data must be accurate. It helps businesses and organizations acquire relevant information for developing future marketing strategies, business plans, and company missions.
Better Problem Solving:
Having better accurate information and data can make the data analysis help out the company and take a better decision to solve the problem. We can see the progression is leading. Data analysis helps the organization to take the right decisions and avoid waste of money.
Decreasing Operation Costs:
Data analysis helps you out by showing in which areas your organization needs more resources and money and in which areas they are not producing and are scaled back. So data analysis helps you out in decreasing the operational cost in which areas are not required.
Data Analysis Helps Out to Know Which Customers Need to Target:
Data analysis finds out which products are being sold more and sales increase through the raw data provided through the charts, etc. Through data analysis, the organization can have an idea of the target audience’s spending habits, income, and areas of interest. So this also helps us to set up the price where there is a lot of demand and ad campaigns and even helps us to set up how many quantities of goods are needed for the organization.
Understand Customer Interest:
You don’t need and want to waste your resources, money, and time by putting all the advertisements, etc. So data analysis helps you see where you should focus on advertisement and ad campaigns. So that customer interest can be known and improve our service, products.
Steps of Data Analysis:
- The first step that needs to be followed is arranging the data properly in a grouped or a data form where it needs to be arranged as per categories like age, income, nationality, etc. It is valued in numerical form or divided category-wise.
- The second step that needs to follow is the process of collecting and saving the data. There are different options for collecting as the technological world has increased the doorways. We can collect through mobiles, computers, online sources, personal data by writing up in books, etc.
- The third step is once a collection of data is done, it needs to be organized properly and need to analyze in a spreadsheet or any other software platform.
- Coming to the last step, errors and duplicates need to be removed which helps to eliminate the mistakes from the data and provides us with the perfect data to take up better decisions for our organization.
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Process of Data Analysis:
Required Data Gathering:
We need to know why we are gathering the data and what result we need to make organizational decisions, so gather all those data in which you need to decide to apply the raw data to data analysis and at last, it gives you the human result.
As per the required data, it is gathered and collected from the sources which include group discussions, interviews, case studies, surveys conducted, questionnaires, and direct observation.
Data Cleaning and Transformation:
The data collected from different sources through different methods are not important, so verifying and cleaning up the data is not required. The process includes the removal of spaces, errors, and records which are duplicated. Data cleaning and transformation is one of the major rules before sending the analysis.
Data Analysis and Interpretation:
After data is cleared and the main data is collected, it is imported to software tools or platforms to understand better the raw data. Some of the platforms are Excel, Microsoft Power BI, Redash, rapid miner, Python, and Looker.
It is the last process where it includes the data which is presented with plots, graphs, graphics, etc. They are tools of data reporting like QlikView, Tableau, etc. It can be explained as the data where it is represented through charts, spreadsheets, maps, etc to understand better human understanding. Visualization helps you understand the organization’s condition in taking up the decision in particular categories and areas.
Data analysis follows different analysis methods and techniques that we can use to process raw data and extract information. Some of the methods are regression analysis, factor analysis, cohort analysis, time series analysis, and monte Carlo simulations. There are two data analysis methods, also some of them are qualitative data analysis and quantitative data analysis.
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How To Become a Data Analyst?
So you can become a data analyst by enrolling in the courses listed in the article. If you want to pursue your career as a data analyst, you should take up a course at the best institute which provides certification and job placement as there is a huge scope of data analytics. So some of the best data analysis courses in Bangalore are listed below:
Top 5 Data Analytics Courses in Bangalore
Coursera provides an IBM data analyst professional certification. It helps us to learn the basic techniques of data analytics and gain experience in analytical techniques, data manipulation, and a variety of data sources. They have better ratings for this course and the course validity is almost 11 months in which 3 hours of study a week is covered with different languages provided like English, Arabic, French, Portuguese (European), Italian, Vietnamese, etc.
Anyone can join this course, there is no experience required. They have thoroughly curated courses in which a beginner can also apply and get benefits. They provide 100% placement assistance.
Jobs You Can Get by Learning This Course
- Data analyst
- Associate Data Analyst
- Junior Data Analyst
- Finance Analyst
- Operations Analyst
- Data Technician
- Business Performance Analyst
- Marketing Analyst
Skills You Will Gain
- Microsoft Excel
- Python Programming
- Data Analysis
- Data visualization
- Data Science
- Pivot Table
- IBM Cognos analytics
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UpGrad also comes under one of the best data analytics courses in Bangalore where it provides an executive postgraduate Programme in Data Analysis. You can start your career with India’s best-known online course aligned with NASSCOM competency standards and approved by the Government of India.
Eligibility for this is a bachelor’s degree with 50 percent mandatory marks. The course is for 12 months period, recommended for 12-15 hrs/week. You can choose from 5 specializations, and receive industry mentorship, career support, 14+ programming tools, and languages. Their data analysis courses in Bangalore are for engineers, IT professionals, domain experts, marketing and sales professionals, and freshers.
Key Highlights From Upgrade Are:
- Python programming Bootcamp
- Career support
- AI-powered profile builder
- Student support 24/7
just in time interviews
- IIT Bangalore alumni status
- 60+ projects
- Job opportunities
- 14+ Programming tools and languages
Fee: 6,736 per month
Programming Languages and Tools:
Apache Spark etc.
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3. FITA Academy:
FITA Academy is a good academy to improve data analytics skills and techniques that are required for the business and organization environment. The FITA academy helps us to learn skills like Data blending, regression analysis, data extracts, and hypotheses. Testing by the end of the day, students will be familiar with tools and software platforms technologies that are utilized in Data analytics. Real-time experts as trainers, live projects, certification, affordable fees, flexibility, and placement support are some of the benefits.
Modules are explained by expert professionals to understand the process better. They provide full training on tools and platforms, and concepts such as SAS Analytics, Tableau, and Power BI. They help to cope skillfully in the aspect to make you an expert in data analytics tools and techniques. The measure of regression, central tendency, dispersion, and correlation will also be taught.
4. Excelr Raising Excellence:
It is also one of the institutes providing data analytics courses in Bangalore. If you are interested in joining or starting a career in this field, this is the right place for you. Data analytics is one of the courses where you don’t need to learn to code, you need to have experience with tools like Excel, My SQL, Power BI, and Tableau.
Who Can Loin The Data Analytics Courses in Bangalore –
Any graduate from commerce, science, and engineering streams, Professionals from BPO and KPO domains, Freshers from any stream with good analytical and logical skills, management professionals, and finance and accounting backgrounds.
Tools and Topics Covered by Them Are:
- My SQL
- Basic and advanced excel
- Power Bi
- R Programming
Course Details and Fee Structure:
- Classroom – 49,999
- Live virtual classroom – 39,999
- Top-class trainers from various companies
- 60+ case studies and assignments to gain knowledge and experience
- real-life data projects
- placement assistance
- 350+ corporate companies network
- 1 year of online classes with a jumbo pass
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5. Intellipaat and CCE IIT Madras:
Intellipaat collaboration with CCE and IIT Madras helps you in Data analytics courses in Bangalore with skills and techniques like SQL, Statistics, R studio, Presto, etc. They provide real-time projects and certificates with case studies.
- 50+ live sessions across 7 months
- student support 24/7
- guaranteed interviews
- industry mentors with one on one
- learn from IIT madras faculty
- 200 hrs projects and exercises
- 218 hours of self-paced videos
Who Can Apply For This Course –
Software developers, freshers, and undergraduates, information architects, BI professionals, Data analytics professionals, project managers, non it professionals like commerce, Hr, banking, marketing, sales, etc all can join the Data analytics course in Bangalore if they are interested and thinking to pursue a career in this background. You will be receiving a data analytics certificate from Intellipaat and CCE IIT Madras along with an SQL certificate and Power BI certificate.
Tools Used in Data Analytics Courses in Bangalore:
- Power BI
Course fee 85,044
Frequently Asked Questions
1. What jobs can we get after the completion of data analytics courses in Bangalore?
After completion of data analytics courses in Bangalore, you can get a number of professions. You can work as a data analyst, developer, Associate Data analyst, Junior Data Analyst, Finance Analyst, Operations Analyst, Data Technician, Business Performance Analyst, and Marketing Analyst. So these are some of the jobs where we can join after a handful of knowledge and experience of technical tools and skills.
2. Which background is needed for the data analysis courses in Bangalore?
There is no specific background or degree required for learning data analytics courses in Bangalore. You need to have basic computer knowledge, English language, high school level mathematics, and be comfortable working with numbers. So any background or degree person can join Data analytics courses in Bangalore, graduate from commerce, science, and engineering streams, Professionals from BPO and KPO domains, Freshers from any stream with good analytical and logical skills, management professionals, finance and accounting background.
3. What is the difference between data analysis, and data analytics, and a data analyst?
Data Analytics: Involves steps of discovering, interpreting, visualization, and presentation of the patterns in data form which can be understood and drive business strategy, decisions and outcomes.
Data Analysis: It is a part of data analytics where it takes care of data cleaning, transformation, and questionnaires to help us find out useful information from a single and prepared form of data
Data Analyst: It can be explained as a profession in which they need to have the technical expertise and communication skills, and quantitative findings to the technician and non-technician teams, shareholders, and clients.
4. What is the salary that we can expect after the completion of data analysis courses in Bangalore?
Salary may vary according to the experiences, knowledge, technical skills, industry, geography, domain, different parameters, etc. So we can say, fresher gets paid with a 3 lakhs per annum and experienced person can get more as per the knowledge and technical skills, location, industry, etc 7-8 lakhs per annum.
5. How does one become a data analyst after the data analytics courses in Bangalore?
Here are some of the tips that helps you to become a better data analyst:
- Get a degree and a completion certificate from the data analytics courses in Bangalore.
- Gain complete knowledge of tools.
- Work as an intern or fresher after completion of the course so that you can gain experience.
- Keep updating yourself on new trends related to the market.
- Updating yourself related to the skills and tools software upgrades.
- Improve your communication skills.
- Presentation and visualization skills need to be improved.
So these were some of the data analysis courses in Bangalore with full details related to them. If someone who is in Bangalore can go and join these institutes. Data analysis is a great career path where the person who wants to start a better career with excellent skills can excel. These courses are the platforms that help us to improve ourselves with better growth where they teach us to analyze data, deal with business processes, deal with problem solutions, manage tasks, handling departments and clients. So this job is for you if you are interested to have a successful career.
The courses not only teach the theory here as data analysis is all about the practical implementation, but they also make you proficient in performing different tasks so that all the concepts will be ingrained in your mind and you get hang of it. The data analytics courses in Bangalore mentioned above must be on your wish list to pursue the courses as they are highly recommended courses for practical learning. By the end of the courses, you will find yourself well-equipped with advanced techniques that will help you take good business decisions and take your firm to the top.
There are a plethora of career options available for certified data analysts as all businesses need professionals to take care of their performance. Taking good business decisions is very important, it works as a pillar of a business that affects all areas. This is why this profession is high in demand. Now, you must take a step ahead and enroll in the data analysis courses in Bangalore listed above.