Top 5 SQL for Data Analytics Courses With Practical Classes
Many students including you are in search of educational entities that are good for learning SQL for Data Analytics Courses. Have you asked yourself why you want to join an ed-tech company or a college for learning SQL for Data Analytics Courses? Yes, the importance of a programming language like SQL makes it hard to progress in a data analyst role without using it. It is a programming language that is used for extracting data from platforms that have required data. Some of the systems that capture data are Oracle, MySQL, and SQL Server. Be happy to find this article as it will give you all the required information about institutes that teach SQL as part of their data analytics courses.
Data Analytics
If you are searching for a field that is considered important by businesses and acts as a foundation for scientific research, then data analytics is for you. It is an approach where raw data is converted into usable information i.e., insights essential for the improvement of a business. This process involves the usage of a range of tools and techniques to identify patterns and trends in the data. Decision-makers in the organization will utilize the identified patterns and trends to improve the business processes.
Data Analytics Process: As I have mentioned previously, data analytics is a process to derive insights from datasets. It consists of 5 steps and they are.
- Question: There must be a reason behind doing something. Likewise, analyze the question at hand regarding the extraction of data for analysis. What is the purpose of this process and you’ll find it easy to find an answer to the same. For example, some companies ask their data analysts to perform data analysis to obtain an answer to the stakeholder’s question.
- Collect: Once you are clear on why you are carrying out an analysis, then you must move toward sources that have the required information. Consider the essential data from common data sources such as manufacturing data, camera feeds, website data, and information from the Internet of Things (IoT) and use it in the next step.
- Prepare: The step that follows the ‘collect’ stage is the preparation of data for analysis. You must ensure to remove unwanted information from the collected data. This does not mean you’ll use unstructured data; format it and make it simple and appealing for use.
- Analyze: This is no brainer; data is collected for analysis. So you have the responsibility to analyze the collected data using relevant analytical techniques like diagnostic, descriptive, prescriptive, and predictive methods for obtaining answers.
- Present: The final step in the data analysis process is the preparation of your results in a way that is understandable to your audience who may be stakeholders or management or both. Most data analysts use storytelling for effectively presenting the data whereas a few prefer graphs and charts to share their findings. Storytelling when combined with visual elements is considered the most efficient approach to data presentation as it easily grabs the attention of observers and makes them participate in the discussion.
Data Analytics Techniques
Data analysis involves processing data which is done using certain techniques and methods. Some of the ways through which data is extracted are
- Regression analysis: This is a kind of analysis that helps the data analysts in finding out the connection between dependent variables for the determination of the impact of change in one aspect on the change in another aspect.
- Factor analysis: The analysis that is done to take large datasets and shrink them into smaller data sets is factor analysis. The purpose of this analysis is to find hidden trends that cannot be found using other methods.
- Cohort analysis: The analysis where customer demographic is given priority to break a data set into separate sets of similar data is cohort analysis. This is done to allow the users of data and data analysts to understand numbers in a chosen set of data.
- Monte Carlo simulations: These are simulations that are used for modeling the probability of various outcomes happening. This technique is usually used for loss prevention and risk mitigation. These contain different variables and values. These are good for forecasting compared to other approaches.
- Time series analysis: This type of analysis is carried out to track data and understand why certain activities took place at certain times. Most data analysts use this technique to show financial forecasts or identify cyclical trends.
Also Check,
- Data Analytics Course Fee
- Data Analyst Skills
- Scope of Data Analytics In India
- Data Analyst Career
- Free Data Analytics Courses
- Data Analytics Books
- Google Data Analytics Certification
- Data Analyst Interview Questions
- Data Analyst Qualifications
- Importance Of Data Analytics
- Data Analytics Bootcamps
- What is Data Analytics Framework
- Where is Data Analytics Used
Institutes That Offer the Best Training on SQL for Data Analytics Courses
SQL is an important programming language that plays a major role in performing data analysis. Though many entities provide data analytics courses with SQL as part of their course curricula, not all are reliable to acquire skills. This is why I have gathered a list of the ideal institutes that provide the best training SQL for Data Analytics Courses.
- IIM SKILLS – Data Analytics Master Course
- ExcelR – data analytics certification training course
- Simplilearn – data analytics program
- Besant Technologie – Data Analytics Certification Course
- Intellipaat – Data Analytics Course
- Imarticus – Postgraduate Program In Data Science And Analytics
- Henry Harvin- Post Graduate Data Analyst Program
IIM SKILLS:
The data analytics course at IIM SKILLS is one that trains students on various aspects of essential programming languages like SQL. No wonder, the go-to place for many students when they think of SQL for Data Analytics Courses is IIM SKILLS.
Many media enterprises have featured IIM SKILLS for its excellence in the education sector and uncommon learning pedagogies for helping students upskill themselves. Zeenews, India Today, The Daily Guardian, Mid-day, and Hindustan Times are some of the media that mentioned IIM SKILLS in their posts. IIM SKILLS not only provides data analytics programs but also offers a range of other courses like the Content Writing Master Course, Digital Marketing Master Course, and Certified Investment Banking course.
| Module Name | Important 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 Curriculum of Data Analytics Master Course
- Separate sessions are allocated to Data Analytics using VBA, SQL, Advance Excel, Power BI, Python, Tableau, and Alteryx.
- Use of R programming for Data Science
Course Highlights
- Master Certification
- Tools driven Training
- Lifetime access to LMS
- 24×7 faculty support
- Practical learning – 7+ live projects, case studies
- Assured internship
Course Fee: ₹ 49,900 + Taxes
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: +919580740740, [email protected]
ExcelR:
ExcelR is one of the best data analytics courses in India. Its data analytics certification training course is tailor-made for students interested in playing with data and contributing to the success of a company. Individuals who join this course are trained on cracking interviews with ease as the interview preparation begins on day one. This course is arranged with IBM as an education partner.
A graduate from any domain, a professional from KPO & BPO domain, any professional with basic analytical and logical skills, an accounting and finance professional, a management professional, or a fresher from any stream with good logical and analytical skills can apply for this course.
It offers the best training on SQL for Data Analytics Courses. You can confirm that by having a glance at the course curriculum.
- Basics to Advanced Excel skills
- MySQL
- Tableau
- Power BI
Value-added courses include business Statistics, R’s & Python fundamentals, SAS, and ChatGPT
Course Highlights
- Assignments
- Access to E-learning
- Live Projects
- Post-training support
- Placement assistance
- Peer Support
Course Duration: 6 months
Course Fee: ₹ 59999 (classroom), ₹ 44999 (Virtual classroom)
Simplilearn:
Simplilearn is a leading training institute in the world. If you are looking to learn SQL for Data Analytics Courses, choose Simplilearn’s data analytics program. It is conducting upskilling sessions on data analytics in collaboration with IBM. A graduate with an engineering or equivalent background can join this course and enjoy the benefits of upskilling themselves.
Course Curriculum
- Business Analytics using Excel
- SQL
- Basics of Programming and use of Python for data analytics
- Use of R for data science
- Data Analytics using R
- Tableau Training
- Masters Capstone project for potential data analysts
- Electives – Power Bi & Industry Master Class
Master’s program certificate will be issued by Simplilearn to the students after the completion of the capstone project.
Course Highlights
- 20+ data analytics projects
- Industry experts as tutors
Course Duration: 12 months
Course Fee: ₹54000
Besant Technologies:
Besant Technologies is famous for offering the best data analytics course in Bangalore. individuals looking for SQL for Data Analytics Courses, must not miss checking out their course. Students of this institute acquire critical skills like regression analysis, hypothesis testing, descriptive & inferential statistics, and data extraction. Anyone who applies for this program will become familiar with relevant technologies and tools such as Tableau, SAS, R, Python, Excel, BI, R, and SQL.
Course Curriculum
- Business Statistics
- Basics to Advanced Excel
- SQL
- Tableau
- Power BI
- Python Basics
Course Highlights
- Free live videos
- Placement assistance
- Live Projects
- Option to choose one-one training over group training
- Certification
- 24×7 mentor support
- Case studies
Course Duration: Approximately 70 hours excluding the time spent on live projects
Course Fee: Visit the website and click on “get fees” button to get the details
Intellipaat:
Intellipaat offers one of the best Data Analytics Courses. Learners who are passionate about learning SQL for Data Analytics Courses must pick Intellipaat. Faculty members of IIT Madras are tutors for the trainees at Intellipaat. If you join the program, you will gain essential skills for data analytics such as R programming, SQL, and Statistics. Real-time projects are included in the course syllabus to help the students get exposure to the current situations in the industry and ways to deal with them. If you become a student of Intellipaat for a data analytics course, you can become any of the below roles
- Data Analyst
- Data Scientist
- Data Analytics Specialist
- Visualization and Reporting Analyst
- Business Intelligence Analyst
- Business Analyst
Course Curriculum
- Data Transformation with the Use of Python and MS Excel
- Use of SQL for Data Wrangling
- Presto
- Basics of Statistics and Data Science
- Business storytelling, problem-solving, and insights
- Optimization techniques
- KNIME
- Machine Learning and Statistics with the Use of R Programming
- Predictive Modeling
- Time-Series Forecasting
- Feature Engineering
- Techniques Related to Advance Machine Learning
- Execution Strategy of Fata Science
- Case Studies
- Use of Power BI for Visualization
- Capstone Project
Course Highlights
- One-to-one sessions with industry experts
- Resume Preparation
- Building LinkedIn profile
- Projects and Exercises
- EMI option
Course Duration: 7 months
Course Fee: ₹100,035
Imarticus:
Imarticus is one of the ideal online platforms that educates students on various domains and provides them with job assistance. The Postgraduate Program In Data Science And Analytics involves educating students with SQL for Data Analytics Courses. Any early professional with basic knowledge of technology and fresh graduates can apply for this program.
Imarticus has a record of helping over 1500 students get placed in well-reputed organizations. IBM, Goldman Sachs, Wipro, Deloitte, Genpact, and Accenture are some of its hiring partners.
Course Curriculum
- Foundation – Basics Programming
- Core Track – SQL, Excel, Python Programming, Machine Learning, Statistics for Data Science, Data Visualization with Power BI and Tableau
- Specialisation Track – Advanced ML Track and ML Track & Data Analytics including capstone Project and Career Services
Course Highlights
- Interview Guarantee
- Live Learning Modules
- Real-World Projects
- KPMG India COE Organised Hackathons
Course Duration: 6 months
Course Fee: ₹ 2,25,000
Henry Harvin:
If you are interested in learning data analytics from an award-winning platform, then visit Henry Harvin’s website. It has many accreditations and affiliations. The Post Graduate Data Analyst Program is for those who aspire to acquire all the essential skills required for a data analyst. There is nothing to worry about ways to become a Data Architect, Applications Architect, Infrastructure Architect, Enterprise Architect, Data Engineer, or SQL Developer, as this course will make you one.
Course Curriculum
- R Programming
- Python Programming
- Natural Language Processing
- Probability & Statistics
- Power BI
- Tableau
- SQL Developer
- Big Data Hadcop
- Industry 4.0
- Computer Vision Courses
Course Highlights
- Jain University Diploma
- 9 in 1 Program
- Practical Learning
- E-Learning Portal Access
- 24×7 faculty support
Course Duration: 9 months
Course Fee: ₹ 75,000
Application of Data Analytics in Brief
The rise in the number of students aspiring to be data analysts is also because of its applications. If you do not believe that, read the below content and understand that data Analytics is used in many sectors. Also, please note that only a few sectors where data analytics have been covered in this article.
- Security
- Transportation
- Risk detection
- Delivery
- Reasonable Expenditure
- Healthcare
- Internet searching
Security: Believe it or not, predictive analysis has indirectly assisted the police department in reducing crime rates. Geographical and historical data was used to find areas with a surge in crime rates and isolate them to prevent unnecessary violence. Isn’t It amazing to use data analytics for the welfare of society?
Transportation: Transportation is a sector that can be revolutionized with the help of data analytics. The heads of the transport department can utilize data analytics and use it in areas where more people use transport to facilitate seamless transportation.
Risk detection: The risk department was the sector to try to apply data analytics for the first time. Its purpose was to detect fraud and it succeeded in executing it Organizations that were struggling to pay off their debts utilized their consumer data and applied data analytics. The data analysts from those organizations implemented a ‘divide and conquer’ policy to analyze the latest profits, expenditures, and other crucial information for understanding the chances of a customer defaulting which led to lowering fraud and risks.
Delivery: Many logistics companies are keen on using data analytics for the examination of collected data and thereby promote improvement in their overall efficiency. Logistics companies found out that the usage of data analytics applications helped them in finding the best shipping routes, most affordable transport means, and delivery time. Using GPS to accumulate data will allow them to enjoy the benefits which are because of data analytics.
Reasonable Expenditure: Building a smart city isn’t an easy job. The planner may require to spend a lot of money on changing certain parts or remodeling the entire space. Sometimes, the estimated/spent expenditure may just be a waste of hard-earned money. Data analytics can come to the rescue of the planner at such times; it can be used to utilize tax money in a cost-efficient manner for building the right infrastructure and reducing expenditure.
Healthcare: There is a lot of advancement in the medical field. However, it is still a costly affair for many people. Several hospital owners find it hard to cope with the cost pressures that are attached to modern healthcare services. For example, purchasing life-saving machinery or powerful drugs to cure diseases is a costly affair.
Data analytics has been introduced into the field to track the health of patients and how certain equipment is being used. It is believed that the application of data analytics to hospital-related services can increase efficiency by 1%. This means approximately $63 billion can be saved and allocated to other areas of healthcare.
Internet searching: It is funny how many Google users are not aware of the fact that they are actually using a data analytics application. Many search engines such as Bing, Google, AOL, Duckduckgo, and Yahoo use data analytics. However, each search engine uses a different algorithm to provide the best result for a keyword search or a general search query, and search engines like Google display about 20 petabytes of information within a few milliseconds for a search query.
Recommend Read,
- IIM SKILLS vs. Learnbay Data Analytics Course
- IIM SKILLS vs ISB Data Analytics Course
- IIM SKILLS vs Simplilearn Data Analytics Course
- IIM SKILLS vs UpGrad Data Analytics Course
- IIM SKILLS vs Imarticus Data Analytics Course
Conclusion
SQL is an important programming language that is used in extracting data from a variety of databases. Most organizations rely on SQL along with other programming languages to carry out data analytics. This is why every aspiring data analyst must make sure to learn SQL for Data Analytics Courses. The best way to do it is to join a data analytics course that includes SQL as part of his curriculum. Do not worry about spending too much time and making many efforts to find trustworthy and best institutes that include SQL as part of their upskilling programs. Take advantage of the below-mentioned education providers and courses to become a professional in the data analytics field.
- ExcelR – data analytics certification training course
- Simplilearn – data analytics program
- Besant Technologie – Data Analytics Certification Course
- Intellipaat – Data Analytics Course
- IIM SKILLS – Data Analytics Master Course
- Imarticus – Postgraduate Program In Data Science And Analytics
- Henry Harvin- Post Graduate Data Analyst Program
That being said, the data analysis process involves the usage of a variety of tools and techniques, of which regression analysis, factor analysis, cohort analysis, Monte Carlo simulations, and time series analysis are commonly used techniques.
FAQs
Q. Why should I Learn SQL for Data Analytics Courses?
You don’t have to learn SQL separately for joining a data analytics course because most related programs include it as part of their curricula. All you have to do is do some research to apply for a reliable course in data analytics.
Q. Which institutes offer the best data analytics courses that include SQL in their syllabus?
Almost every educational entity that promotes data analytics has courses that contain SQL as one main topic. However, finding a reliable list of entities that provide upskilling programs can be difficult. This is why the names of the best institutes are shared below.
- ExcelR – data analytics certification training course
- Simplilearn – data analytics program
- Besant Technologie – Data Analytics Certification Course
- Intellipaat – Data Analytics Course
- IIM SKILLS – Data Analytics Master Course
- Imarticus – Postgraduate Program In Data Science And Analytics
- Henry Harvin- Post Graduate Data Analyst Program
Q. What are the common programming languages included in a data analytics course?
To begin with, not all education providers include the same set of programming languages in their programs. That being said, the most common languages present in a data analytics course are R, Python, Excel, Tableau, and SQL.
