Data Analytics Courses in Calicut
100% Placement Assistance
Professional Team of Tutors
Practical Oriented Training
High Quality Syllabus
What makes Corpus Data Hub the best option for Data Analytics Training in Calicut Kerala
Our program includes rigorous interview preparation and access to a vast network of 2000+ hiring partners.
Comprehensive Expertise: Our programs cater to all skill levels, providing essential knowledge and techniques to effectively utilize data for informed decision-making.
Dual Focus: We excel in both training and project execution, ensuring a practical understanding of data analytics concepts and their real-world application.
Skilled Team: Our experienced data analysts lead projects, delivering precise insights through tasks like data visualization, statistical analysis, and predictive modeling.
Actionable Outcomes: We emphasize practical outcomes, helping participants and businesses transform data into actionable strategies for success.
End-to-End Support: As dedicated trainers, we guide you in enhancing your data analytics expertise or implementing data-driven solutions to drive business growth.
Scholarship Opportunity up to 15000/-
Why Are We the Best Data Analytics Training Center in Kozhikode?
- Swift Mastery in 4 Months: Our focused 4-month program ensures efficient and comprehensive learning in data analytics.
- Job Interview Guarantee: We assure job interviews, providing a direct pathway to potential employers for enhanced job market prospects.
- Hands-On Experience Priority: With 70+ class hours and 150+ project hours, our emphasis on practical training ensures proficiency in real-world data analytics applications.
- Holistic Pre-Placement Program: A dedicated 20-hour pre-placement program hones your interview skills, giving you a competitive edge in the job market.
- Personalized Learning: Limited student batches enable personalized attention, creating an optimal environment for your success.
25-March-2024
Mon-Fri ( Weekdays Regular )
25-March-2024
Mon-Fri ( Weekdays Regular )
Data Analyst Syllabus
- What is Data
- Types of Data
- Data Analytics Overview
- Data Analytics Lifecycle
- Roles & Responsibilities of a Data Analyst
- Applications of Data Analytics
- Tools Used in Data Analytics
- Excel Interface & Basics
- Data Cleaning Techniques
- Sorting & Filtering
- Conditional Formatting
- Excel Formulas & Functions
- Pivot Tables & Pivot Charts
- Data Validation
- Dashboard Creation in Excel
- Introduction to Databases
- RDBMS Concepts
- SQL Architecture
- Data Types
- Constraints
- DDL, DML, DQL, DCL, TCL
- Joins
- Subqueries
- Views
- Indexes
- Stored Procedures
- SQL for Data Analysis Use Cases
- Introduction to Python
- Python Environment Setup
- Variables & Data Types
- Operators
- Control Structures
- Functions
- Modules & Packages
- File Handling
- Exception Handling
- NumPy
- Pandas
- Data Cleaning & Manipulation
- Exploratory Data Analysis (EDA)
- Matplotlib
- Seaborn
- Importance of Statistics
- Descriptive Statistics
- Inferential Statistics
- Measures of Central Tendency
- Measures of Dispersion
- Probability Concepts
- Probability Distributions
- Sampling Techniques
- Hypothesis Testing
- Correlation & Regression
- Introduction to Power BI
- Power BI Architecture
- Data Importing
- Data Modeling
- Power Query
- DAX Functions
- Visualizations
- Dashboards & Reports
- Publishing & Sharing Reports
- Business Analytics Overview
- Types of Analytics
- KPIs & Metrics
- Business Decision Making
- Case Studies
- Introduction to Generative AI
- AI vs ML vs Gen AI
- Large Language Models (LLMs)
- Prompt Engineering
- Gen AI for Data Cleaning
- Gen AI for Data Analysis
- AI-Powered Insights & Reporting
- Ethical AI & Limitations
- Real-Time Analytics Projects
- Business Case Studies
- Dashboard Projects
- End-to-End Analytics Project
- Gen AI Integrated Project
- Resume Building
- Portfolio Development
- Interview Preparation
- Mock Interviews
- Career Guidance
Python
Mysql
Matplotlib
PyCharm
Pandas
Num Py
Microsoft Power BI
Tableau
Microsoft
Statistical Programing
Programming Language Python Basics
Mathematics & Statistics
Communication Skills
Statistics & Probability
Business Acumen
Functions, Charts & Slicer
Business Analytics Concepts
Data Analytics Certification
Corpus digital hub Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees. Our certification at Corpus digital hub is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.
Training Courses Reviews
My time at CORPUS DATA HUB completely changed the game for me. The instructors weren’t just teachers; they felt more like helpful guides, breaking down in a way that just clicked. And those hands-on projects? They were like solving fun puzzles, turning learning into an exciting adventure.
Athulya
Ex-student
I want to share how great my experience was learning at CORPUS DATA HUB. The teachers were awesome, blending practical insights with theory. The hands-on projects helped a lot.
Rahul
Ex-student
CORPUS is different because it’s practical and supportive. The course is well-organized, and the staff is friendly. It’s a top choice for anyone thinking about a career. I feel ready for the industry, thanks to CORPUS DATA HUB. Definitely recommend it!
Aiswarya
Ex-student
Frequently Asked Questions For Data Analytics
According to Glassdoor, the average salary for a data analyst in India is ₹6,50,000 per year. The average base pay range falls between ₹4,00,000 and ₹8,00,000 per year.
Data analysts collect, process, and analyze large sets of data to help organizations make informed decisions. They use various tools and techniques to interpret data trends, identify patterns, and extract meaningful insights that can drive business strategies and decision-making processes.
Successful data analysts possess a combination of technical skills, such as proficiency in programming languages like Python or R, data visualization tools like Tableau or Power BI, and statistical analysis techniques. Additionally, strong analytical thinking, problem-solving abilities, and effective communication skills are crucial for interpreting and presenting data insights.
Data analysts are in demand across various industries, including finance, healthcare, retail, marketing, technology, and government sectors. Virtually any organization that deals with large volumes of data can benefit from the expertise of data analysts to gain insights and drive strategic decisions.
While both roles involve working with data, data analysts primarily focus on interpreting existing data to answer specific questions or solve business problems. On the other hand, data scientists typically have more advanced skills in machine learning, predictive modeling, and advanced statistical analysis, and they often work on developing algorithms and predictive models to extract insights from data.
To become a data analyst, anyone with an interest can pursue it. Gain proficiency in programming languages and tools through internships, online&Offline courses, or self-study. Build a portfolio showcasing your data analysis projects to enhance your prospects in the field.
Data analysts often use a variety of tools and technologies, including programming languages like Python, R, SQL for data querying, statistical software such as SAS or SPSS, data visualization tools like Tableau, Power BI, or matplotlib, and database management systems like MySQL or PostgreSQL. Familiarity with Excel and its advanced features is also essential for data analysis tasks.
Data analysis can provide valuable insights to businesses in various ways, such as optimizing operations, improving customer experience, identifying market trends, enhancing decision-making processes, reducing costs, and increasing revenue. By leveraging data effectively, businesses can gain a competitive edge and adapt to changing market conditions more efficiently.
The average salary for a Data Analyst in Calicut typically ranges between ₹4 Lakhs to ₹9 Lakhs per year, depending on experience, skills, and the hiring company
Yes, Calicut is emerging as a promising tech hub in Kerala, with growing opportunities in data science, analytics, and IT roles. The city offers a cost-effective lifestyle, affordable rent, and access to a skilled talent pool compared to major metros like Bangalore, Delhi, or Mumbai.
Several IT companies are already operating in Calicut, including those based in Government Cyberpark and UL CyberPark. Additionally, HiLite Business Park and other tech hubs are attracting new startups and established IT firms to open offices in various parts of the city.
These advantages—skilled manpower, lower operational costs, and a better quality of life—make Calicut a smart choice for both companies and professionals starting a career in data analytics.
Key Highlights
6 Month Duration
Job Interview Guaranteed
100+ Hours Of Class, 200+ Hours Project
100% Hands on Training
20 Hours Pre-Placement Program
International Certifications
Mock Test, Mock Interviews & Machine Test
Industry Relevant Projects
Soft Skill Training
Limited students batch (Only 5 Students)
Have Queries? Ask our Experts
WhatsApp or Call
Book an Appoinment
Our courses
Discover the specialized courses from Corpus tailored to equip you with the knowledge & essential skills in the desired field. Explore our courses below.
Data Analytics
Data Analytics is the process of analyzing the data to find out some valuable insights or trends for decision making & enhancing business performance
Data Science with AI
Data science deals with handling massive volumes of data using latest tools & technologies to explore the pattern and analyze any important information.
Duration: 7 Months, 5 Days a Week, 2-3 Hours/Day
Python Full Stack
A python full stack development course comprises both the front end & back end development to launch dynamic websites & web applications
Duration: 6 Months, 5 Days a Week, 2-3 Hours/Day
MERN/MEAN Stack Development
The Mern Stack Development course includes all the essential tools, techniques and concepts of creating full stack web applications.
Duration: 6 Months, 5 Days a Week, 2-3 Hours/Day
Business Analytics
The program lets you drive into the world of development by building web applications using the PHP programming language & Laravel framework.
Duration: 3 Months, 5 Days a Week, 2-3 Hours/Day
Digital Marketing
Digital marketing is a way of marketing any businesses or services globally using the digital channels & platforms to achieve the market objectives.
Duration: 4 Months, 5 Days a Week, 2-3 Hours/Day