Learn Data Analytics With iROHUB
Future-proof your professional life with iROHUB Infotech's cutting-edge Data Analytics Training in Kochi. In today's digital economy, data is everything. Organizations that can decipher and act on data insights dominate their competitors unequivocally. Data analytics has gone from just being a career option to being a core competency for future-defining leaders.
At iROHUB Infotech, we offer Data Analytics training that imparts the technical skills and real-world experience to you to be a data-driven decision-maker in any industry. Be on the data revolution, but lead it with iROHUB Infotech. Sign up now and soar to new heights in your career.
⏳ Course duration: 6 months
📅 Weekday / weekend Class
💼 Live project exposure
🎯 100% placement support
What You'll Master in Our Data Analytics Course
📊 Foundations of Data Analytics
🧹 Data Cleaning & Preparation
📈 Excel for Data Analysis
🗄️ SQL for Data Analysis
🐍 Python for Data Analytics
📉 Data Visualization
🧮 Statistics for Analysts
💼 Real-World Projects
Why iROHUB for Data Analytics Training?
iROHUB Infotech, provides the best Data Analytics training. Only professionals and experts design our solutions. From the beginning or wanting to optimize, we pair raw data with actionable insights at affordable costs.
Live Project Exposure
Trainees receive hands-on experience with real projects across various industries such as healthcare, retail, finance, and supply chain analytics. The projects assist us in building analytical skills, business acumen, and data storytelling skills, which in turn help in boosting employability.
100% Placement Support
iROHUB offers full placement services like resume construction, LinkedIn profile optimization, portfolio selection, mock interviews, and direct referrals to our hiring partner network.
Mock Interviews
Real-world hiring is tough—we make sure you're tougher. With mock interviews in simulated industry environments, students practice presenting data projects, debating methodologies, and defending findings, thus preparing themselves to work with actual clients and be analysts.
Our Syllabus:
- Introduction to data analytics
- data entry table creation and management
- Excel formulas
- data management
- data cleaning
- data issues handling
- data calculations
- visualization
- AI integrations and practice
- Understanding
- exploring
- installing Power BI
- Power Query handling
- sorting
- filtering
- grouping
- denormalization
- cardinality
- Star Schema models
- DAX- basic and advanced
- data visualization and formatting
- Power BI report generation
- Introduction to database types
- understanding SQL commands
- identifying data analytics keys and constraints
- DDL creation
- editing, renaming, and deleting
- DML
- orders and functions
- user-defined functions
- process, and sub-queries, views, CTEs, case handling
- AI SQL conversion and practice
- Gain an overall understanding of the Python programming language
- Learn the different Python data types and structures
- Understand how Python types and structures are used in programming
- Learn the fundamentals of Python programming from the ground up
- Build a clear understanding suitable for students from all educational backgrounds
- Understand the value, applications, and relevance of Python in today’s technology industry
- Develop a strong foundation for progressing to advanced Python concepts and practical programming
- Learn NumPy and work with arrays for efficient data processing
- Understand Pandas for data manipulation and analysis
- Perform data filtering, merging, and transformation using Pandas
- Learn essential data cleaning techniques to prepare datasets for analysis
- Create visualizations using Matplotlib and various plot types
- Identifying Data-Related Problems
- Understanding and Selecting the Right Data Sources
- Finding Relevant Data Values for Different Requirements
- Data Visualization and Interpretation
- Using Charts and Dashboards for Data Storytelling
- Presenting Data-Driven Insights
- Conducting Business Meetings Using Data
- Creating Effective Data Presentations
