Data Analytics Courses in Calicut
100% Placement Assurance
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
Data Analytics : Importance
What is Data
Different Types of Data
Data Levels of Measurement
Types of Analytics
Terminologies in Data Analytics
Introduction to Python
Installation
Variables in Python
Data Types
Data Structure
Operators
User input
Decision making statements
Conditional loops
Loop control statements
Functions
Anonymous Functions
Object oriented programming
Class and Object
Inheritance, Encapsulation &Polymorphism
Modules
Exception Handling
File Handling
Numpy
Pandas
Matplotlib
SciPy
Introduction
Constraints
Sql Commands
Joins
Basics Of Ssms
Data types
Measures of central tendency
Measures of Dispersion
Skewness and Kurtosis
Introduction to web scraping and its applications in
data analytics
Overview of the HTTP protocol and HTML structure
Introduction to Python libraries for web scraping
(e.g., BeautifulSoup, requests,scrapy)
Retrieving Web Content
Sending HTTP requests using Python
Understanding different request methods (GET, POST, etc.)
Handling cookies and sessions.
Parsing HTML and XML
Introduction to HTML and XML parsing
Navigating and extracting data from HTML using
BeautifulSoup
XPath and CSS selectors for data extraction
Handling Authentication and Forms
Scraping websites that require authentication
Submitting forms programmatically
Handling CAPTCHAs and other anti-scraping measures
Scraping Structured Data
Scraping data from tables, CSV files, and other structured
formats
Cleaning and transforming scraped data using Python
libraries
(e.g., pandas)
Storing Scraped Data
Introduction to databases for storing scraped data
Using SQLite and other database systems
Exporting data to different formats (e.g., CSV, Excel)
Basics
Types of data formatting
Sorting and Filtering Data
Data validation
Functions and Formulas
Pivot Table
Pivot Charts
Visualization types
VBA Macro
Dashboard
introduction
Different products of tableau
Data terminology
File extension
Filters
Set, Group, Hierarchy and Parameter
Tableau Functions
Different types of charts
Worksheet, Dashboard and Story
Joins and Union
introduction
Power BI Tools
Building blocks of power BI
Data modelling
DAX
Visualization Types
Power Query
Object Explorer
Query and Text Editor
Template Explorer
Solution Explorer
Visual Database Tools
Python
Mysql
Matplotlib
PyCharm
Pandas
Num Py
Microsoft Power BI
Tableau
Microsoft
Statistical Programing
Programming Language Python Basics
Mathematics & Statistics
Statistics & Probability
Communication Skills
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.
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
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