You will encounter complex datasets, tough business cases, and unexpected results.
You will encounter complex datasets, tough business cases, and unexpected results.
Duration: 6 months
5 (600 Students)
Course Description
Data Analytics is the process of collecting, cleaning, and analyzing raw data to discover meaningful patterns, trends, and insights that help organizations make better decisions. It involves using tools, statistical techniques, and visualization methods to understand past performance, identify opportunities, solve problems, and even predict future outcomes. Whether it’s improving business operations, understanding customer behavior, or forecasting market trends, data analytics turns complex data into clear, actionable knowledge that drives smarter strategies and growth.
Learners will gain hands-on experience with real-time tools and labs, including
Microsoft Excel – Data cleaning, analysis, pivot tables, basic visualization.
Python – Powerful for data analysis, machine learning, automation.
R Programming – Statistical computing and data modeling.
SQL – Querying and managing databases.
Tableau – Data visualization and dashboards.
Power BI – Business intelligence and interactive reports.
Google Analytics – Website and digital traffic analysis.
Apache Hadoop – Big data storage and processing.
Apache Spark – Fast data processing for large datasets.
Jupyter Notebook – Interactive data analysis environment.
SAS – Advanced analytics and statistical tools.
RapidMiner – No-code/low-code data science platform.
KNIME – Open-source data analytics and workflow tool.
SQL Server / MySQL / PostgreSQL – Popular database systems.
This comprehensive course offers over 160 hours of expert-led training,
A unique highlight of the program is the guaranteed 2-month paid internship with a stipend at a reputed IT company, offering valuable industry exposure and project experience. In addition to technical skills, Metailearn also provides certification, career guidance, and placement support to help learners confidently enter the workforce.
The course is offered in online, offline, and hybrid formats and is typically completed within 4 to 6 months, depending on the learner’s pace and availability.
Course includes:
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Level:Beginner to Advanced
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Duration:N/A
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Lessons:16
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Students:600
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Certifications:Microsoft Certified: Azure AI Engineer Associate
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Language:Malayalam, English
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