Best data analytics institute in Palakkad
Data Analytics course in Palakkad
Looking for the best Data Analytics course
in Palakkad to boost your career in today’s data-driven world?
Our industry-aligned training program is
designed to equip students, fresh graduates, and working professionals in
Palakkad with the most in-demand data analytics skills, including Excel,
SQL, Python, Power BI, and Business Intelligence.Master Data Analytics with hands-on training in Excel, SQL, Python,
and Power BI. Work on real business datasets and become job-ready. 100%
placement support included.
Whether you’re from a technical or non-technical background, this course offers step-by-step guidance, hands-on projects, and expert mentorship to help you become job-ready. With flexible batches, real-time assignments, and 100% placement assistance, we are one of the top-rated institutes offering data analytics training in Palakkad.
Required Skills
·
Technical: Excel,
·
SQL,
Python, R, Power BI, Tableau, Google Analytics
·
Soft
skills: Communication,
·
critical
thinking, storytelling with data
·
Domain
knowledge: Domain knowledge: Healthcare,
·
finance,
marketing, retail, etc.
·
Global
Opportunities
·
USA,
Canada,UK, Australia are hiring skilled Indian data professionals.
·
Average
salaries range between $60,000 to $110,000/year.
What is Data Analytics?
Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data Lifecycle and Data-Driven Decision Making
Tools Overview: Excel, Python, R, SQL
Descriptive Statistics
Probability Theory
Inferential Statistics
Hypothesis Testing
Regression Analysis
Data Collection and Cleaning
Data Wrangling using Python (Pandas, NumPy)
Data Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn
Relational Databases
Writing Queries in SQL
Joins, Subqueries, Aggregation
Working with Real-World Databases
Data Structures in Python
Data Manipulation with Pandas
Exploratory Data Analysis (EDA)
Automation and Scripting
Supervised vs Unsupervised Learning
Linear & Logistic Regression
Clustering and Classification Techniques
Model Evaluation Metrics
Analytics for Marketing, Finance, HR, and Operations
Case Studies and Real-World Use Cases
KPI Tracking and Dashboards
End-to-End Data Analysis Project
Report Writing and Presentation
Insights and Recommendations