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Enrolling in this data analyst course in Kerala will help you acquire knowledge in Power BI, data cleansing, and data analysis, and more. You will be practicing practical projects and case studies guided by professionals with industry experience. After completing this data analyst course in Kerala, you'll receive job assistance and certification as a skilled data analyst.
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Course PreviewThis data analyst course in Kerala helps you learn all the concepts of data analysis and become an industry-level expert in mastering business domain knowledge and data optimization methodologies.
Through our data analyst course in Kerala, you will be able to master the mentioned skills:
On completing this data analyst course in Kerala, you will be able to work on solving complex business problems through the usage of machine learning algorithms and create value out of raw data.
You will be working on multiple case studies, hands-on exercises, and project work to master the skills required to become a successful data analyst.
iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), and Intellipaat will award advanced certification in data analytics for business upon the successful completion of the course. Upon the course completion, career assistance services will be provided by Intellipaat, which include Mock Interviews, Resume preparation, and guaranteed 3 interviews withm top employers.
Data analysis is a highly in-demand career choice in our tech-driven world. There are many job openings in this field, which makes it an attractive option for those who are considering a career change.
According to Glassdoor, the average income of a data analyst in Kerala is about ₹5 Lakh per annum. This may increase to ₹8 Lakh per annum with more experience and better work quality.
There are no prerequisites for taking up this online data analyst course in Kerala. A basic knowledge of data analysis, statistics, and probability is beneficial to take up the data analyst online courses.
Role | Focus | Key Skills |
Data Analyst | Collects, cleans, and analyzes data to identify trends and patterns | Data mining, data visualization, statistical analysis |
Business Analyst | Gathers and analyzes business requirements to develop solutions that meet those needs | Business process modeling, requirements gathering, stakeholder management |
Data Scientist | Uses machine learning and statistical methods to build models that can be used to make predictions and decisions | Data mining, machine learning, artificial intelligence |
Our data analytics online certification course in association with iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), is an industry-designed course, designed for you to fast-track your career in the domain of data analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours in coding necessary for becoming a Data Analyst, then Intellipaat’s Data Analytics courses are for you.
The online data analytics course in Kerala involve the following:
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Who can apply for the Data Analytics Course in Kerala?
What Roles does a Data Analyst Play?
Create predictive models like churn likelihood, and customer lifetime value, and help the team implement these models accordingly.
Develop models concerning the numerous cost components that power the various margin awareness initiatives.
Maintain the specifications of data engineering and meet the objectives of online data visualization platforms, such as Alteryx and Tableau.
Build attractive, interactive, and intuitive data visualizations, including reports, graphs, presentations, and dashboards.
Identify, build, and execute the techniques of Data Analysis to allow the team to make significant impacts on the business.
Generate detailed reports and dashboards of high quality, and give presentations.
SQL
Data Wrangling
Data Analysis
Prediction algorithms
Data visualization
Time Series
Machine Learning
Power BI
Advanced Statistics
Data Mining
R Programming
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Making use of time series data, gathering insights and useful forecasting solutions using time series forecasting.
Business Domains – Learn about various business domains and understand how one differs from the other.
Understanding the business problems and formulating hypotheses – Learn about formulating hypotheses for various business problems on samples and populations.
Exploratory Data Analysis to Gather Insights – Learn about exploratory data analysis and how it enables a foolproof producer of actionable insights.
Data Storytelling: Narrate stories in a memorable way – Learn to narrate business problems and solutions in a simple relatable format that makes it easier to understand and recall.
Case Study
This case study will cover the following concepts:
Projects will be a part of your Data Analyst Master’s program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
Over 10+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions that will help you stay on track with your upskilling.
Get assistance in creating a world-class resume & LinkedIn profile from our career services team and learn how to grab the attention of the hiring manager at the profile shortlisting stage
Students will go through several mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learner’s educational background, past experience, and future career aspirations.
Placement opportunities are provided once the learner is moved to the placement pool upon clearing the Placement Readiness Test (PRT)
Exclusive access to our dedicated job portal and apply for jobs. More than 400 hiring partners, including top start-ups and product companies, are hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Our data analytics courses are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.
You will receive the data analytics certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:
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Intelllipaat offers the best Artificial Intelligence course and other courses on Big Data Hadoop, data science, machine learning, Python, Python for data science, and Business Analytics.
If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions, and also visit our YouTube channel for free videos.
It involves collecting data, cleaning it, analyzing it, and visualizing it in a way that is easy to understand. Data analysis can be used to improve business processes, identify new opportunities, and solve problems.
The tools used for data analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top data analysis tools are:
Data analytics is a rapidly growing field with many career opportunities. Data analysts are in high demand as businesses increasingly rely on data to make decisions. Data analysts use their skills to collect, clean, analyze, and interpret data to identify trends, patterns, and insights. They use this information to help businesses make better decisions about everything, from product development to marketing campaigns.
As per the Bureau of Labour Statistics, the estimated growth rate for data analytics professionals will shoot up by 23% by the year 2026.
To become a data analyst, you must have the following qualifications:
To become a data analyst, you should meet the following criteria:
You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Analytics course.
Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial, but this is not required to become a data analyst. The main requirement of becoming a data analyst is that you need to possess the necessary skills in this domain. So, having a degree can help you to some extent, but it is still a secondary requirement.
Intellipaat offers self-paced training to those who wish to learn at their own pace. This training also gives you benefits like query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for an entire lifetime. Also, you will get the latest version of the course material at no additional cost.
Intellipaat’s self-paced training is priced 75% less compared to online instructor-led training. If you face any problems while learning, our team can always arrange a virtual live class with the trainers as well.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.