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Learn Data Analytics -Online Data Analytics Course in Malappuram

Master the art of data-driven decision-making with our Data Analyst Course in Malappuram. Gain hands-on experience in Excel, SQL, Power BI, and Python to build a successful analytics career

Course Type

Online

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Placement Assistance

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An Overview of Expert-Led Online Data Analytics Course in Malappuram

Our Data Analyst Course in Malappuram offers an industry-relevant curriculum designed to equip you with analytical, technical, and visualization skills. Learn from expert mentors through live and recorded classes, practical projects, and placement assistance to become job-ready.

Inclusive & Immersive Hybrid Training Sessions Icon

Inclusive & Immersive Hybrid Training Sessions

Industry Expert Sessions Icon

Industry Expert Sessions

80+ Live & Recorded Sessions Icon

80+ Live & Recorded Sessions

Soft Skill Sessions Icon

Soft Skill Sessions

Industry Networking Icon

Industry Networking

Placement Training Icon

Placement Training

Illinois Tech Certification Icon

Illinois Tech Certification

Data Analytics Skills Covered

Build Industry-Relevant Data Analytics Skills

Data Analytics Placement Success: See Where Our Learners Work

Discover the inspiring journeys and career milestones of our talented data analytics students who have secured top industry placements

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Data Analysis Tools You’ll Master

Gain hands-on experience with essential tools like Excel, SQL, Power BI, Tableau, and Python, widely used by top analytics professionals and organizations worldwide.

OpenCv Power BI Python Python Pandas Python Numpy matplotlib SQL DAX Seaborn Plotily logo Scikit logo Excel Jupyter_note_book Python Spyspark Beautiful_soup Selenium$_python google_collab Anaconda_ide Excel_power_query

Data Analytics Job Roles

What Exactly Does a Data Analyst Do? Lets Dive Deep into Roles!

Data Analyst

Data analysts gather, organize, and interpret data to provide valuable insights to businesses. They use statistical tools and techniques to identify trends and patterns and communicate their findings to key stakeholders. A data science and machine learning course equips individuals with skills in data manipulation, visualization, and analytics, making them a perfect fit for this role.

Business Intelligence Analyst

Business intelligence analysts are responsible for studying data to uncover trends and patterns that can assist companies in making informed decisions. They employ a variety of data analytics tools to collect information from various data sources and present it in a format that can be easily comprehended by stakeholders. This position necessitates strong analytical abilities, business expertise, and excellent communication skills.

Data Scientist

Roles and responsibilities include collecting, analyzing, and interpreting large amounts of datasets. The role also requires making use of statistical and machine learning techniques to identify trends and patterns in data.

Data Engineer

Being one of the most technical profiles in the whole of data science and analytics careers, this particular data analytics career closes the gap between software and application developers. The core responsibilities include designing and building infrastructure and systems that support data collection, storage, and analysis

Data Analyst Course Syllabus

Our comprehensive curriculum includes modules on data analysis, SQL, Excel, Python, and BI tools, ensuring you acquire both technical and analytical expertise to excel in the data industry.

  • Introduction to Data Analytics
  • Data Analytics Lifecycle,
  • Types of Data Statistics Basics (Mean, Median, Mode,Variance, Standard Deviation).
  • Introduction to Excel Interface
  • Basics of Excel
  • Spreadsheet basics
  • Data Entry.
  • Fundamentals of Excel
  • Insertion
  • Deletion
  • Importing Data
  • Table Creation
  • -sum()
  • min()
  • max()
  • count()
  • average()
  • if()
  • sumif()
  • countif()
  • averageif()
  • formatting text using right() left(), mid(), upper(), lower(),proper()
  • Introduction to Data Cleaning
  • Removing duplicate data
  • Handling missing data
  • Correcting inconsistent data
  • Text-to-columns and Flash Fill
  • Data Validations
  • Data transformation,
  • What-if analysis
  • scenario Manager
  • Removing unnecessary characters and spaces
  • Conditional formatting for data cleaning
  • Filtering and Sorting data in excel Descriptive Statistics
  • Mean
  • standard deviation, etc., using Analysis ToolPak
  • Mean, standard,deviation, etc., using Analysis ToolPak
  • TODAY
  • NOW
  • YEAR
  • MONTH
  • WEEKDAY
  • DATEDIF
  • VLOOKUP
  • HLOOKUP
  • XLOOKUP
  • INDEX
  • MATCH
  • Creating Pivot tables
  • Connecting multiple tables and show analysing and creating visualization with multiple tables.
  • Data Analysis and Visualization using Pivot Table
  • Charts and Graphs
  • Bar
  • Column
  • Pie
  • Line
  • Scatter
  • Combo charts
  • Sparklines
  • PivotCharts
  • Dynamic charts with slicers and filters
  • create and design interactive dashboard.
  • Installation of Power BI Desktop
  • Exploring the Power BI interface
  • Connecting to data sources
  • Importing Data into Power Query
  • Data Cleaning and Transformation: Handling Missing Data and Duplicate Data, Sorting and Filtering Rows, Aggregating and Grouping Data in Power Query
  • Normalization vs denormalization
  • Relationships in PowerBI
  • Cardinality
  • cross filter direction
  • Building Star schema data model
  • Calculated Columns and tables using DAX
  • Measures, Simple DAX Functions and Operators(Mathematical, Logical, Statistical & Text Functions)
  • Advanced DAX – Aggregations and Calculations(Aggregate, Filter, Datetime, Time Intelligence & Table Functions)
  • Bar
  • Column
  • Pie
  • Donut
  • Line,
  • Area,
  • Scatter
  • KPI & Gauge
  • Table
  • Matrix
  • Map
  • Tree map
  • Combo
  • Creating Hierarchies ; Filters, Slicers ; Drill-Downs
  • Learn how to apply Data Analysis using Excel and PowerBI, mini project spanning 10 days.

  • IS NULL,

  • IS NOT NULL

  • IN

  • NOT IN

  • BETWEEN

  • NOT BETWEEN

  • LIKE,

  • NOT LIKE

  • ORDER BY

  • LIMIT,

  • Aggregate functions,

  • GROUP BY, HAVING, INNER JOIN , LEFT JOIN, RIGHT JOIN, UNION, UNION ALL

  • Mathematical, String
  • Date & time
  •  User-defined function
  • Stored Procedures
  • Subqueries -single, multi-row; Views - simple, complex views, Triggers
  • DCL- GRANT, REVOKE ; TCL - COMMIT, SAVEPOINT, ROLLBACK - ACID properties, show connecting mysql and powerbi
Learn how to create and analyse databases using MySQL mini project, spanning 5 days.
  • String
  • String methods
  • String slicing
  • Tuple
  • Tuple methods
  • Immutable vs Mutable Data Types
  • Dictionary
  • Dictionary methods
  • Set
  • Set methods Frozenset
  • Conditional statements - if, else, elif, while loop ,else, break & continue with while loop, range; for loop ; else, break & continue with for loop; nested for loop ; enumerate ; List Comprehension
  • NumPy
  • NumPy arrays
  • Array operations and functions
merge, concat, join, group by

Visualization Using Matplotlib

  •  Scatter Plot
  • Line Chart
  • Bar Chart
  • Pie Chart
  • Histogram
  • Box Plot

VisualizationUsing Seaborn

  • Count Plot
  • Bar plot
  • Scatter plot
  • Line plot
  • Box plot
  • Histogram
  • Density Plot
  • Violin Plot
  • Swarm Plot
  • Heatmap
  • Pair Plot

Top Trending Blogs of Data Analysis and Data Analytics

Explore Trending Topics of Data Analytics

How to Become a Data Analyst? Skills Required

Discover the path to becoming a data analyst in this insightful blog. Learn about the essential skills you need, from mastering data tools like Excel, SQL, and Python to honing analytical thinking and communication abilities. Explore industry trends, career opportunities, and practical tips to kickstart your journey in the dynamic world of data analysis.

Data Science Vs Data Analytics

Data Science focuses on building models and using advanced techniques like AI to predict outcomes. Data Analytics is about analyzing existing data to find trends and insights. Both are key in today’s data-driven world, but their goals and methods differ.

Exploratory Data Analysis Techniques

EDA makes sure that the proper patterns and trends are made available so that the model may be trained to produce the desired results, much like a good recipe. As a result, using the appropriate EDA tool and appropriate data will help accomplish the desired result.

Data Analysis – Process, Methods, Types

Explore the steps, methods, and types of data analysis used to turn raw data into actionable insights.

Eligibility /Pre-requisities for Data Analytics Course

This course is open to graduates, professionals, or beginners with a basic understanding of computers and logical reasoning..

Basic Programming Skills icon

Basic Programming Skills

Helps in understanding analytical tools easily.

Interest in Data: icon

Interest in Data:

Curiosity to explore and interpret data.

Problem-Solving Skills icon

Problem-Solving Skills

Formulate data-driven solutions, identify patterns and trends, and ability to apply logical thinking to solve complex problems with strong problem-solving and analytical skills.

Basic Mathematical skills icon

Basic Mathematical skills

Mastering fundamental mathematical concepts, like algebra, calculus, and probability, is essential.

See Where Our Students Are Working

Connect employers with a global network of recruitment partners to meet their hiring goals.

Webdura technologies Bz Analytics Bethelsoft-Technologies Approcker Techologies Clodium software Euclidz Eyerov Zennode Technologies Xynosoft Webova Web App Tech Solutions Veuz Innovations

Why Live Sessions?

Live sessions on data Analytics have several advantages that make them a valuable learning resource.

Interactive Learning

Real-time guidance from experts.

Immediate Doubt Clearing

Get instant support

Real-World Insights

Industry-driven examples and practices

Networking Opportunities

Connect with peers and mentors.

Live Sessions

Your Industry Mentors

Gain an edge in your career by accessing our team of experts who will provide invaluable guidance and support. Meet our team of mentors!

Data Analytics With Python Exam & Certification

Courses Recognised by

illinois Tech NSDC

Frequently Asked Questions

Illinois certification validates your proficiency and expertise across various industries. It can enhance your credibility and positively impact your career growth, earning potential, and professional fulfillment. Obtaining Illinois certification opens up opportunities for career advancement and high-paying jobs, bringing ample career opportunities and enhancing your professional success.

Illinois certification is best for IT freshers. This certification program provides comprehensive training and education on various aspects of IT, including programming languages, software development, database management, and more.

Illinois certification helps freshers build a strong foundation in IT. It equips them with the necessary skills to succeed in their careers and to get better job opportunities with higher salaries.

What Our Students Are Saying

Enrolled by Students
4.8 (89 Ratings)

Key Learning Outcomes of Data Analytics Course

The key takeaways from the "Entri Data Analytics" course are as follows

Master data analysis using Excel, SQL, and Python.

Master data analysis using Excel, SQL, and Python to efficiently clean, analyze, visualize, and derive actionable insights from complex datasets for informed decision-making

Create powerful dashboards using Power BI & Tableau

Create powerful, interactive dashboards with Power BI and Tableau that transform raw data into clear, actionable insights for smarter business decisions.

Learn to interpret business data for decision-making.

Learn to interpret business data for decision-making by analyzing trends, identifying opportunities, and transforming raw information into actionable insights that drive strategic growth.

ain confidence to apply for data analyst roles.

Gain the skills and confidence needed to apply for data analyst roles by mastering essential tools, building real-world projects, and understanding key industry practices.

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Frequently Asked Question about Data Analytics Course in Malappuram

Data analytics course fees in Malappuram range from ₹15,000 to ₹1,50,000. Basic short-term programs start around ₹15,000–₹30,000, while advanced training with live projects, certifications, and placement support typically costs more. The final price depends on course duration, institute credibility, and job-assistance features

Students typically need a minimum qualification of Plus Two (12th grade) to enroll in a data analytics course in Malappuram. Some advanced or degree-oriented programs may require a bachelor’s degree in subjects like mathematics, statistics, computer science, or economics. Applicants should have strong analytical, logical reasoning, and problem-solving skills.

Most data analytics courses in Malappuram take 3–6 months to complete. Short, tool-focused programs (like Tableau or Power BI) may finish in a few weeks, while full job-oriented programs with projects and internships can extend up to six months or more.

You’ll receive Entri Course Certification, NSDC Certification (National), and Illinois Certification (International).

To choose the right data analytics course in Malappuram, first identify your career goals and compare both local and online training options. Review syllabus depth, practical project work, certification value, and placement support. Look for programs covering essential tools like SQL, Python, Power BI, and Excel. Courses like Entri’s Data Analytics Course offer hands-on training, industry-aligned modules, and job-focused support — making them a strong choice for beginners and career switchers.

Eligibility for Refunds: Learners can avail a refund within 30 days of joining the batch. No refund request will be entertained under any circumstance after 30 days of joining the batch. Refunds are not applicable to the recorded video subscriptions. Refund Process: To request a refund, learners must contact our User Happiness Team and raise the refund request. Our team will analyze the case and decide on the refund. If approved, learners will receive the refund within 30 working days after approval. Learners will continue to pay the monthly EMI for loan (if applicable) and such loan cannot be canceled. Refund Amount: Refund amounts will be determined based on the following conditions (Once your refund request is approved): Before the batch starts, there will be an operational cost deduction of 20% of the paid amount or Rs 3000 whichever is the highest Once the batch starts, a deduction of 40% of the paid amount or Rs 6000 whichever is highest will be applicable. No refund requests will be entertained after 30 days from the date of batch commencement. Exclusions: Refunds are also not applicable to learners who have completed more than 30 days in the batch. Changes to the Refund Policy: We reserve the right to modify or update this refund policy at any time without prior notice. Any changes to the policy will be posted on our website Scenario Before batch commencement : 20% of the program fee paid or Rs 3000 (Whichever is highest) Post batch commencement up to 30 day: 40% of the program fee paid or Rs 6000 (Whichever is highest) Post 30 days of batch commencement: No Refund

Find Your Program and Up-skill

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Advantages of Learning Elevate Data Analytics Course

Elevate Learning Experience

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Student Support

Available all-day, using Slack for urgent queries.

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Q&A Forum

Timely doubt resolution from peers and mentors

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Expert Feedback

Personalized feedback on assignments and projects

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Industry Networking

Live doubt clearing sessions with Industry Experts

Career Support

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Personalized Industry Mentorship

Get personalized feedback and mentorship from an experienced data specialist to enhance your career path.

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Resume Review

Get personalized guidance on your resume structure and content.

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Live profile-building workshops

Build your profile with hands-on sessions, whether on your résumé, GitHub, or Kaggle platform.

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Who Can Apply For the Course

  • Students
  • Professionals
  • Career Switchers
  • Job Seekers
  • House Wife
  • Un-employers
  • Freelancers
Who can apply
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