Data Analytics has a tremendous growth rate and will keep growing in the future. Data Analytics is a fast-growing field that requires professionals with prescribed skill sets. Hence, Professionals in this field are in great demand. Data analytics courses in Trivandrum equip people with the knowledge and skills to succeed in this fast-growing field.
There are many opportunities for those who are certified in this field. The relevant certification in a person’s resume will surely stand out from the rest. The article focuses on the concept, scope, and approach of Data Analytics in India. The article also highlights the Top 10 Institutes offering Data Analytics Courses in Trivandrum.
What is Data Analytics?
Organizations collect millions of data for their business needs. Data are facts and figures or information stored in computers or servers, such as emails, information for research purposes, etc. These data do not have any essence or meaning as they are raw.
Data Analytics helps process these data to make them more meaningful and helpful. Processed data helps an organization function more effectively and efficiently. These data include files, web servers, and a lot of customer-related information. Data Analytics helps analyze data and identify patterns, to make business predictions.
Data Analytics helps these Organizations in optimizing profit and decision-making. Some of the tools of Data Analytics are:/ Google Analytics, Tableau, SQL, Python, SAS, and many more. Data Analytics has four different fields. Each field has a role to play and applied to achieve varied goals.
- Descriptive Analytics: Descriptive Analytics looks into “What happened? “They help in tracking performance in industries. Descriptive Analytics refers to the interpretation of previous data to understand business trends. Business trends include month-over-month sales growth, price changes year-over-year, etc. Descriptive Analytics help to identify loopholes in the Organization.
- Diagnostic Analytics: Diagnostic Analytics help in answering “why something happened? “Both Diagnostic and Descriptive Analytics use historical data.
- Predictive Analytics: Predictive Analytics helps answer “What is going to happen in the future”. Based on the results of historical data, Predictive Analytics help identify trends and their possibilities of recurrence. Predictive Analytics forecast business outcomes such as an increase or decrease in revenues.
- Prescriptive Analytics: Prescriptive Analytics helps to answer “what to be done next”. Prescriptive Analytics focuses on actionable insights unlike Predictive and Descriptive Analytics, which focus on data monitoring. Prescriptive Analytics gets help from Predictive and Descriptive Analytics and uses algorithms and machine techniques to optimize business outcomes.
Why Data Analytics as a Career?
Data Analytics help Organizations increase their productivity. It helps these Organizations in optimizing profits and making decisions. To thrive in this world of data, these Organizations need a skilled workforce who are proficient in using specialized techniques and tools of data mining. Let us discuss some points which make Data Analytics a great career path.
- Organization’s Top Priority: According to the surveys, Data Analytics has a tremendous growth rate and will keep growing in the future. Hence, Professionals in this field are in great demand. Organizations are implementing Data Analytics, creating a lot of demand for Analytics Professionals.
- Competitive Salary: As the demand for Data Analytics is increasing, the pay perks of Professionals are also advancing. With the required skillset and expertise, Data Analyst Professionals command a good pay-check that could be in the six-figure range.
- Job Opportunities in Data Analytics: Data Analytics is a fast-growing field that requires professionals with prescribed skill sets. Though its demand is growing, a massive shortage of skilled professionals is noticed. As a result, a lot of positions in the Organizations remain vacant. Professionals with the right qualifications and skills could find it easy to start a career in Data Analytics.
- Adoption of Data Analytics by Organizations: It is almost impossible for Organizations to ignore the significance and relevance of Data Analytics to the business. Companies collect tons of data all the time but in raw form. These data need to be analyzed to add meaning to them. Data Analytics helps add meaning to them and draw actionable insights to inform and drive most business decisions. So, Organizations hire experts with Data Analytics skills.
- High demand for Data Analytics Professionals: All Industries use Data Analytics for business decisions. Whatever the business size, Data Analytics is being implemented and explored by these companies. The implementation or adoption of Data Analytics needs the expertise of skilled professionals. With Organizations looking to tap the power of Data Analytics, the career path of Data Analysts looks bright.
- Use of Data Analytics in Various Sectors: Various Industries, big or small, uses Data Analytics. These Industries are telecom, media, financial services provider, banking, healthcare, retail, automotive industry, and agriculture.
- Opportunities to work with major brands: One of the most intimidating aspects of Data Analytics is that you get to work for big names in the business. J.P. Morgan, HSBC, Netflix, Fox, NDTV, Amazon, Reliance Retail, and Airtel are a few names.
A Range of Jobs in Data Analytics: There are numerous career options available in Data Analytics. Industries adopt Data Analytics in many fields. Thus, there are several job titles to choose from. Some job titles are:
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
- Marketing Analytics Manager
- Financial Analyst
- Data Governance Analyst
- Statistician
- Research Analyst
Career can be chosen from three types of Data Analytics:
- Prescriptive Analytics
- Descriptive Analytics
- Predictive Analytics
What is Data Analyst?
Data Analysts collect, extract and analyze data. They help businesses in making decisions by extracting insights from data. They analyze data to produce charts, graphs, and reports. Data Analysts ensure the accuracy and quality of data with their expertise. Data Analysts have numerous roles and responsibilities:
- Data Analysts analyze data to derive insights. These insights help companies assess the business situation. If the situation is unfavorable, companies make decisions to make it favorable.
- They tap into the areas of efficiency and automation of processes.
- Data Analysts work in coordination with data scientists, and IT to determine Organizational goals.
- Analysts analyze and clean data from piles of data.
- They use statistical methods to perform data analysis.
- Data Analysts analyze data to identify patterns and highlight changing trends.
- Use Predictive Analytics to make strategies.
- Consumer behavior changes towards products. Data Analysts assess these changes in behavior and help Organizations in adapting to trends.
- Based on the study of consumer behavior, companies make modifications to products.
- Data Analysis procedures need to be explained to stakeholders. Data Analysts prepare analysis reports for those stakeholders.
Skills Needed for Data Analyst:
- Strong mathematical and analytical skills
- Excellent programming knowledge of SQL, Oracle, R, MATLAB, and Python
- Experience in JavaScript, XML, or ETL Framework
- Proficiency in EXCEL, SPSS, SAS
- Knowledge of software like Tableau for data visualization
- Problem-solving skills
- Good team worker
- Excellent communication and presentation skills
Tools used by Data Analysts:
SQL, MS-Excel, SPSS & VBA, Jupyter Notebook, R, Tableau, SAS, Microsoft Power BI,
Qualifications Required:
A degree in disciplines such as:
- Business Information system
- Economics
- Computer Science
- Statistics
- Mathematics
- Information Technology
Scope of Data Analytics
The Scope of Data Analytics in India is enterprising and is expected to have guaranteed growth in the future. Data Analytics helps companies and Organizations collect data and find patterns in them. These insights into the data help Organizations in making decisions.
These Organizations rely heavily on Data Analytics to manufacture better products with better quality. As a career, Data Analytics provides a lot of opportunities as far as personal and professional growth is concerned. Data Analysis, Information Technology, and Statistical evaluation are a few skill sets required in Data Analytics.
- Data Aggregation and Analysis
- Discovering untapped Markets
- Increase in efficiency
Reasons for Data Analytics gaining importance in evident. Various sectors of the Economy use Data Analytics. Let us look into some scopes of Data Analytics in India:
- IT Sector: Data Analytics enjoys its maximum share in IT Industry. Most of the Advanced Cyber Defence systems depend upon Data Science. This sector faces many challenges, and to address those challenges, Data Scientists and the IT sector is working together with Cyber Security Experts. A few IT companies in India are Tata Consultancy Services, Infosys, and Wipro.
- Banking, Financial Services, and Insurance: After IT, this is the second largest sector in India. Banking depends upon Predictive Analytics for customer services and performances. Banks and other Financial Services providers take up blockchain and data analysis, which makes the scope of Data Analytics more promising in India.
- Retail and Commerce: Data Analytics assists Retailers in predicting consumer behavior. It makes retailers understand what drives the consumers to buy a product. This helps the retailers in getting the desired result and enhances sales.
- Health Care: Data Analytics helps doctors in diagnosing patients and determining the treatment by examining patients’ information.
- Manufacturing: Data Analytics provides information to the managers to keep customers satisfied when any alteration is needed in the market.
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Structure of Data Analytics
Before the Data Analytics team formation, many things need to be considered, such as the size of the team, their roles and responsibilities, etc. The Data Analytics team’s Organizational Structure has been classified into three sections:
Centralized: All data resources and technologies are owned by a centralized data team. This team consists of a Data Head, Data Engineers, and Data Scientists. Its functions include:
- Data resources alignment to company need
- Knowledge sharing
- Mentorship
Decentralized: In this model, each business unit has its data team. This model is required in big organizations where central teams find it difficult to cater to the needs of individual business units. The benefits of this model are:
- Responsiveness and Agility
- Business unit prioritization
- Domain knowledge
Hybrid: The Hybrid model is the combination of Centralized and Decentralized models.
Salary In Data Analytics in India
Base Salary for different Job Titles in Data Analytics as per Indeed.com
| Job Title | Average Base Salary/ Annum |
| Data Scientist | 11,49,299 |
| Data Engineer | 11,38,093 |
| Marketing Analyst | 3,79,577 |
| Financial Analyst | 4,51,625 |
| Quantitative Analyst | 3,88,001 |
| Risk Analyst | 5,77,362 |
| Research Analyst | 4,14,479 |
| Statistician | 7,92,905 |
| Business Intelligence Analyst | 7,41,287 |
| Data Analyst | 5,39,508 |
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Types of Jobs in Business Analytics
Data Analytics is a field growing exponentially. Before joining this field, one should know the types of jobs available and how to get such jobs. Data Analytics Courses in Trivandrum provide opportunities to those looking for a career in Data Analytics. Some of the jobs in the Data Analytics field are mentioned below:
- Data Scientist: Data Scientists collect, interpret and analyze data. They analyze data to find patterns using statistical and mechanical learning techniques to provide actionable insights.
Skills/Qualifications required:
- Bachelor’s degree in computer science, maths, statistics, or engineering is required to be a data scientist.
- Excellence in programming skills such as SQL, Python, Metalbs, and other programming languages.
- Business Intelligence Analyst: Business Intelligence Analysts produce reports that help in determining trends and making business decisions. They conduct detailed business analyses such as highlighting problems, and opportunities and providing solutions. They are engaged in budgeting, forecasting, and pricing analysis.
Skills/Qualifications required
- Degree in computer science, mathematics, or any related field.
- Problem-solving skills
- SQL, Excel, and Tableau knowledge
- Data Engineer: This is one of the technical fields of Data Analytics. They build the infrastructure that supports data analysis, storage, and collection. They ensure the accuracy, accessibility, and security of data. They manage and maintain databases.
Skills/Qualifications required:
- Experience in Ruby, Java, C++, Metlabs
- Marketing Analytics Manager: There are many ways in which data science is used in marketing. Marketing Analytics Managers use data analysis to improve the efficiency of marketing campaigns. These analyses are forwarded to other departments and marketing professionals to prepare charts and reports so that they are easy to understand and act upon.
Skills/Qualifications required:
- Excellent in SQL, Micro strategy, and Advanced Excel.
- Experience in Data Visualisation and marketing analytics tools
- Excellent communication and presentation skills
- Proficient in programming languages such as SQL, Python, R, and Excel
- Financial Analyst: Companies gather numerous information from stock markets, international stock exchanges, and other markets. These Financial Analysts work on these data to identify trends for further investment-making decisions. They are involved in financial modeling and forecasts.
Skills/Qualifications:
- Excellent In Programming languages such as SQL, R, and Python
- Good knowledge of Excel
- Excellent Communication and Presentation skills
- Experience in Financial Modelling and Analysis
- Good Analytical skills
- Quantitative Analyst: Quantitative Analysts use mathematical and quantitative methods to help Organizations make business decisions. Investment Banks, Private Equity firms, and Insurance Companies appoint these Analysts to tap investment opportunities. Computers work on algorithms. Quantitative Analysts are the brains behind these algorithms.
Skills/Qualifications required:
- Experience in Python and R
- Expert with numbers
- Advanced computer skills
- Risk Analyst: Businesses always experience threats of risks and losses. Risk Analysts identify these risks and adopt strategies to manage those risks.
Skills/Qualifications required:
- Excellent Analytical and problem-solving skills
- Excellent communication and presentation skills
- Good knowledge of programming languages such as SQL, Python, and R
- Data Governance Analyst: Data Governance Analysts ensure the accuracy and consistency of data. They also ensure that data comply with the legal requirements. They make sure that the policies, procedures, and data management standards are properly followed.
Skills/Qualifications required:
- Bachelor’s degree in computer and information sciences
- Excellent technical and analytical skills
- Strong communication and presentation skills
- Excellent project management skills
- Research Analyst: Research Analysts are involved in collecting and analyzing data to enhance efficiency and optimize profit for the Organization. They help organizations to reach their goals. They are instrumental in designing strategies and methods to manage, store and capture data.
Skill/Qualifications required:
- Excellent mathematical and statistical skills
- Analytical and financial skills
- Good communication and presentation skills
- Excellent programming skills such as Python, SQL
- Statistician: Statisticians use statistical methods and strategies in solving problems.
They analyze, collect and interpret data which helps Organizations make business decisions. Their work involves probability theories, mathematics, and statistical analysis.
Skills/Qualifications required:
- Excellent in mathematics and computer science, communication, and data analytics
- Excellent Communication and presentation skills
- Good team player
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List Of Top 10 Institutes for Data Analytics Courses in Trivandrum
There are a lot of Institutes that provide Data Analytics Courses in Trivandrum. Let us discuss the list of Institutes offering Data Analytics Courses in Trivandrum.
1. Data Trained: Post Graduate Program in Data Analytics
Data Trained is one of the premier Institutes providing Data Analytics Courses in Trivandrum. The Data Analytics course from Data Trained helps students learn concepts, tools, and technologies of Data Analytics and prepare them to work as Data Engineer after the course completion.
Students get to engage in real-time industry projects, mentored by Industry Experts. The Institute provides resume feedback and helps students in interview preparation and placement.
Data Trained in partnership with IIM Jobs provide paid resume preparation and feedback from industry experts. The Data Analytics course from Data Trained comprises some remarkable features such as:
- 360-degree career support
- 100 percent job placement guarantee
- Instant Doubt Resolution
- Interactive Learning
- Suited for both freshers and working professionals
The Course Curriculum has 4 Modules:
- Module 1 is Foundation which consists of Python for Artificial Intelligence and Machine Learning
- Module 2 in Machine Learning comprises Supervised Learning, Ensemble Technologies, and Unsupervised Machine Learning
- Module 3 is Advanced Excel
- Module 4 is Tableau
Mode of Learning: Online
Languages and Tools used: Excel, Python, Tableau, NLP, SQL Server
Course Duration: 8 months (20-22 hours/week)
Course Fee: 70,000 INR with No Cost EMI Option
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2. UpGrad: Data Science and Analytics Certification Course
UpGrad is one of the most reputed Institutions offering Data Analytics Courses in Trivandrum. The Course in Data Analytics by UpGrad is certified by Golden Gate University which is the ranked# 1 college in California, USA. The students get a certificate from one of the top-ranking colleges in the USA. Students get hands-on experience with all tools and technologies used by experts on the job.
Some of the Key Highlights of the Data Analytics Courses in Trivandrum are mentioned below:
- The course is designed for beginners
- Job ready curriculum
- More than 5 hands-on projects based on real-world industry scenarios
- Capstone projects
- Expert faculties from renowned companies
- Session recordings for self-study
- Live sessions with subject matter experts
- Doubt clearing sessions
- 3 assured job interviews
- Mock interviews and group discussions
- Resume and LinkedIn profile building
- Access to more than 300 hiring partners
Course Curriculum: SQL, Data Visualisation, Explanatory Data Analysis, Statistics
Languages and Tools used: Python, Excel, Pandas, Tableau, Matplotlib
Mode of Learning: Online
Eligibility: Graduates from any discipline
Course Duration: 6 months
Course Fee: 40,000 plus GST with EMI Option and Scholarship Assistance
3. Simplilearn: Data Analyst Course
Simplilearn is one of the topmost Institutes that offer Data Analytics Courses in Trivandrum. Simplilearn had been ranked#1 by Career Karma. The Data Analytics course from Simplilearn works in collaboration with IBM. The Data Analyst course equips students with tools and techniques of Analysis.
It teaches how to work with SQL Databases, R, and Python. It helps students create Data Visualisation and apply Statistics and Predictive Analysis in Organizations. Institute’s ranking and its collaboration with IBM make it one of the best Data Analytics Courses in Trivandrum.
Some of the Key highlights of Data Analytics Courses in Trivandrum are:
- Course Curriculum with Integrated Labs
- Live Online classes by Industry Experts
- Data Analysis with IBM Advantage
- More than 20 Data Analytics Projects
- Master classes by IBM experts
- Hackathons conducted by IBM
- Data Analytics Masters Certificate from Simplilearn
Course Curriculum:
- Business Analytics with Excel
- SQL
- Data Analytics and Programming Basics with Python
- R Programming for Data Science
- Data Analytics with R
- Tableau Training
- Data Analyst Master Capstone
Tools and Languages covered: Excel, NumPy, Pandas, PowerBI, Python, R, Tableau, SQL
Mode of Learning: Online
Eligibility: Graduates with Mathematics, Engineering, and Business Management background
Course Duration: 12 months
Course Fee: 54000 INR Inclusive of Taxes with an EMI Option of 4500/month
4. ExcelR: Data Analytics Certification Training Course
ExcelR is a well-known Institute that offers Data Analytics Courses in Trivandrum. Data Analytics Course from ExelR in collaboration with IBM, offers opportunities to students and tech professionals.
The Course is designed to suit both the market needs and those with an interest in building a career in the tech domain. Data Analyst Certification Course is powered by IBM. The Course covers Excel with programming languages like Tableau, SQL, Power BI, R, and Python.
Key highlights of the Course:
- Trainers with more than 12 years of Industry experience.
- Course Curriculum provides theory as well as practical exposure to students.
- Students get to work on real-time Data Analytics to get application knowledge.
- Prepare students for interviews with a network of more than 2000 hiring partners.
Course Curriculum:
- Excel
- My SQL
- Tableau
- Power BI
- Business Statistics
- Fundamentals of R
- Fundamentals of Python
- SAS
Tools and Technologies used: Excel, SQL, Tableau, Power BI, Business Statistics, Python Programming, R Programming, SAS
Eligibility: Any graduate from commerce, science, and arts streams
Mode of Learning: Online
Course Duration: 6 months/ 150 hours
Course Fee: 44,999 INR
5. Coursera: Google Data Analytics Professional Certificate
Coursera is one of the finest Institutes that offer Data Analytics Courses in Trivandrum. Data Analytics Course from Coursera equip students with in-demand skills and make them ready in 6 months. Students get to learn the processes used by Analysts.
Collection, interpretation, and organizing of data for analysis are done through programming languages such as SQL and R. Students get to learn skills such as spreadsheets, data analysis, problem-solving, data collection, SQL, data aggregation, Tableau software, and R programming.
Students get training and certificate from Google. Students qualify for jobs as Data Analysts, Associate Data Analysts, and Junior Analysts.
Course Curriculum: Foundations, asking questions to make data-driven decisions, Data preparation for exploration, Cleaning Data, Data sharing through visualization, Data Analysis with R programming, and Complete case study of Google Data Analytics Capstone.
Key highlights of Data Analytics Courses in Trivandrum are:
- Resume review
- Interview Preparation
- Career support with Coursera’s job search guide
- Connect with more than 150 hiring partners in the USA
Eligibility: No experience or degree is required
Course duration: 6 months
Mode of learning: Online
Course Fee: 1143/month
6. Imarticus Learning: Post Graduate Program in Data Science and Analytics
Imarticus Learning is the most prominent institute offering Data Analytics Courses in Trivandrum. Data Analytics Course from Imarticus Learning comes with a job guarantee feature. The Data Analytics Course includes case studies and projects formulated by Industry Experts. It helps students implement their learning effectively.
Key Highlights of the Program:
- Students get to learn applications of data science, SQL, Python, Data Analytics, Power BI, and Tableau.
- The Curriculum is conducted by expert faculties using interactive modules and hands-on training methods.
- Resume Building
- Career mentorship
- Interview workshops
- Students’ participation in coding hackathons by KPMG India CEO.
Tools and Technologies used: Excel, Python, R, Power BI, Tableau, SQL, Spark
Career: Data Scientist, Data Analyst, Business Analyst, Business Analytics Professional, Analytics Manager, Machine Learning Engineer
Mode of learning: Online
Course duration: 6 months (300+ learning hours)
Course Fee: 225000 (Tax Included) EMI options available
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7. Datamites: Certified Data Analyst Course
Datamites is the most prestigious institute that offers Data Analytics Courses in Trivandrum. The Data Analyst Course from Datamites has accreditation from the International Association of Business Analytics Certification (IABAC), which provides global recognition and opportunities.
Students get to work on one client/live project for Internship Experience Certificate. The Data Analyst course from Datamites offers training in Data Science, Machine Learning, AI, and Python Learning. The syllabus focuses on data science for decision-making and managing data science projects with essential technical scenarios. The course consists of 3 different phases.
Phase 1 includes self-study, videos, and books. Phase 2 is Intensive live online training and certification. Phase 3 consists of Internship project mentoring, live client project delivery, resume preparation, job alerts, and interviews.
Key highlights of the course:
- Global recognition with IABAC certification
- Elite faculties from prestigious Organizations
- Career guidance through expert counselors
- 5 case studies
Course Curriculum: Data Analysis Foundation, Python Foundation, data Science Foundation, Data Analysis Associate, Advances Data Analysis, Predictive Analysis, Version control with GIT, SQL and MongoDB, Big Data Foundation, Certified BI Analyst, Artificial AI Foundation.
Course Duration: 4 months/more than 200 hours of learning
Course Fee: 45,505 INR with no cost EMI option
8. Analytix Labs: Business Analytics 360 Course
Analytix Lab is a top-ranked Institute providing Data Analytics Courses in Trivandrum. The Business Analytics Certificate is globally acclaimed and designed for beginners to start a career. The students get to learn from basic statistical concepts to advanced analytics techniques.
The Course in Business Analytics from Trivandrum equips the learners with skills to solve real-world problems. The course provides concepts of Forecasting, Time-Series Analytics, and Econometrics for predicting results. The refined course curriculum and attractive course highlights make it one of the most promising Data Analytics Courses in Trivandrum.
Course Curriculum:
- Data Visualization and Analytics
- R for Data Science
- Python for Data Science
- Predictive Modelling and Introduction to ML
- Placement Readiness Program
- Building Blocks
- Data Analysis and Visualization
- Data Analysis with SQL
- Power BI for Data Analysis and Visualization
- Data Analytics with VBA
Key Highlights of the course:
- 3 Analytics case studies using R
- Ten short exercises on NumPy and Pandas
- Two exercises on statistical analysis
- An Assignment on Basis Python
- Live Online sessions by experts
- Self-paced e-learning
- Classroom and boot camps
- Profile building
- Interview Preparation
- Job Referrals
- Continuous Career Support
Tools and Technologies used: Excel, NumPy, Pandas, Tableau, Python, R, SQL, Power BI
Mode of learning: Online and Classroom
Course Duration: 360 hours, 32 classes
Course Fee: 45,000 INR
9. NIIT: Professional Program in Data Analytics
NIIT is one of the most prominent Institutes that offer Data Analytics Courses in Trivandrum. Students learn Data Analysis, Data Visualization, RDBMS, SQL, Python, and Tableau. The course equips students with engineering and behavioral competencies. The course makes students job ready with six steps professional grooming process.
Course Curriculum: 2 levels
Level 1:
- Data Analytics using Excel
- Analysis using SQL
- Introduction to programming using Python
- Python for Data Science
Level 2:
- Exploratory Data Analysis
- Statistics and Data Visualization using Python
- Exploratory Data Analysis using Tableau
- EDA case study
Key Highlights of the course:
- Job Assistance
- Stack Route Certification
- Experiential Apprenticeship
- Outcome Oriented
- Integrated Problem Solving
- Capstone Projects
- Career Support
- Practitioner designed
- Mastery learning
Tools and Technologies used: Tableau, My SQL, Excel
Eligibility: Undergraduates with minimum 50% marks in 10th and 12th and 50% in Graduation for Level 2
Mode of Learning: Online
Course Duration: 40 weeks for Level 1 (Part-time) and 8 weeks for Level 2 (Part-time)
Course fee: 75,0000 INR (Level 1), GST 18%
The Institute also offers Data Analytics Foundation Program. It is a 6-week program with a course fee of 30,000 INR excluding GST.
10. Udacity: Data Analyst Course
Udacity offers one of the best Data Analysis Courses in Trivandrum. The course uses Python, SQL, and Statistics for insights and provides solutions. Students get to learn data analysis using Python libraries like NumPy and Pandas. Students start with the basics of data analysis and then engage in data wrangling skills to work with complex datasets.
Course Curriculum:
- Introduction to Data Analysis
- Advanced-Data Wrangling
- Data Visualization with Matplotlib and Seaborn
Key highlights of the course:
- Real-world projects from Industry experts.
- Instant help in the classroom
- GitHub portfolio access and LinkedIn profile optimization
- Flexible learning program tailored to fit busy life
- Content co-created with Kaggle
- Project reviews
- Project Feedback
Mode of learning: Online
Course Duration: 3 months
Course fee: 77,676 INR
Frequently Asked Questions
Question1. What are the benefits and role of Data Analytics?
Answer: Organizations collect millions of data for their business needs. These data come in raw form and are meaningless. Data Analytics helps process these data to make them more meaningful and helpful. Once processed, these data, with much more significance, aid Organizations in functioning more effectively and efficiently. It is almost impossible for Organizations to ignore the relevance of Data Analytics to the business.
Data Analytics helps add meaning to data and draw actionable insights, used in informing and driving most business decisions. Various Industries, big or small, use Data Analytics. These Industries include telecom, media, financial services provider, banking, healthcare, retail, automotive industry, and agriculture. Banking depends upon Predictive Analytics for customer services and performances.
Banks and other Financial Services providers take up blockchain and data analysis, which makes the scope of Data Analytics more promising in India. Data Analytics helps Retailers in predicting consumer behavior. It makes retailers understand what drives the consumers to buy the products. This help retailers in getting the desired results and enhances sales.
Question 2. What are the skills a Data Analyst requires?
Answer: Skills required for Data Analyst are:
- Strong mathematical and analytical skills
- Excellent programming knowledge of SQL, Oracle, R, Matlab and Python
- Experience in JavaScript, XML, or ETL Framework
- Proficiency in EXCEL, SPSS, SAS
- Knowledge of software like Tableau for data visualization
- Problem-solving skills
- Good team worker
- Excellent communication and presentation skills
Question 3. What is the difference between Data Analyst and Data Scientist?
Answer: The most crucial difference between a Data Analyst and a Data Scientist is their treatment of data.
- A Data Analyst uses tools like SQL, R, Python, Data Visualization, and Statistical Analysis to work with structured data to solve business problems.
A Data Scientist works on both structured data using advanced data techniques to predict the future. A Data scientist develops Algorithms, predictive models, and data modeling processes to run custom analyses.
- A Data Analyst job requires a degree in mathematics, computer science, finance, or statistics.
Data Scientist requires a master’s degree in data science, IT, mathematics, and statistics.
- Data Analyst need to have good knowledge of Excel and should be proficient in SQL, R, SAS, and Python
A Data Scientist should have an excellent command of Hadoop, Java, Python, and Machine Learning.
Conclusion
Listed above are some renowned and prestigious Institutes offering Data Analytics Courses in Trivandrum. As a career, Data Analytics provides a lot of opportunities as far as personal and professional growth is concerned. Data Analytics is the need of the hour as businesses need to keep pace with evolving technologies and consumer expectations. Companies need to make quick and data-driven decisions in this ever-evolving market. I hope this article proves fruitful to aspirants looking for Data Analytics Courses in Trivandrum.