Name: Data Analytics Training in Noida- Procodetechnologies.in
Brand: ProCode Technologies
SKU: 9042777051
Price: 24999 INR
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Data Analytics Training in Noida

Categories Data Engineering, Noida

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About Course

Master data analytics with Procode Technologies’ Data Analytics Training in Noida. Learn Excel, SQL, Python, Power BI & earn certification.

Zero-Internship Program
Goal Oriented Work Experience Projects
Industry-Focused Trainers for Constant Learning
Support for Job Hunting after Completing the Course
Courses Offered at Reasonable Rates and Free Certification
Suitable for Students and Employed People Alike

Course Curriculum

Introduction to Data Analytics

Understanding the fundamentals of data analysis and its importance in business decision-making
Overview of data analytics lifecycle from data collection to visualization
Different types of analytics: descriptive, diagnostic, predictive, and prescriptive
Career paths and industry applications of data analytics
Tools and technologies used in modern data analytics ecosystems

Data Collection and Preparation

Statistics for Data Analysis

Excel for Data Analysis

SQL for Data Analytics

Python Programming Fundamentals

Data Analysis with Python

Data Visualization Principles

Tableau for Business Intelligence

Data Analytics Career Preparation

A course by

Thameem Ahamad

Business Intelligence Analyst roles focusing on operational reporting and dashboard creation.
Data Scientist positions developing advanced statistical models and algorithms.
Marketing Analyst opportunities optimizing campaign performance and customer segmentation.
Financial Analyst roles performing risk assessment and investment pattern analysis.
Healthcare Analyst positions improving patient outcomes and operational efficiency.
Supply Chain Analyst roles enhancing logistics and inventory management systems.

Retail sector utilizing customer behavior analysis for personalized shopping experiences.
Banking and finance implementing fraud detection and automated risk assessment.
Healthcare organizations optimizing treatment protocols and resource allocation.
Manufacturing companies enhancing production efficiency and predictive maintenance.
Transportation services improving route optimization and demand forecasting.
E-commerce platforms refining recommendation engines and conversion strategies.

Data Analytics Training in Noida

About Course

What I will learn?

Course Curriculum

Introduction to Data Analytics

Understanding the fundamentals of data analysis and its importance in business decision-making

Overview of data analytics lifecycle from data collection to visualization

Different types of analytics: descriptive, diagnostic, predictive, and prescriptive

Career paths and industry applications of data analytics

Tools and technologies used in modern data analytics ecosystems

Data Collection and Preparation

Methods of gathering data from various sources: databases, APIs, web scraping

Data cleaning techniques to handle missing values and outliers

Data transformation processes for analysis readiness

Normalization and standardization of datasets

Data validation methods to ensure quality and consistency

Statistics for Data Analysis

Descriptive statistics: mean, median, mode, standard deviation

Probability distributions and their applications in data analysis

Hypothesis testing and confidence intervals

Correlation analysis and regression techniques

Statistical significance and its interpretation in business contexts

Excel for Data Analysis

Advanced Excel functions for data manipulation

Pivot tables and PowerPivot for data summarization

What-if analysis and scenario modeling

Excel dashboards and visualization techniques

Data analysis add-ins and their applications

SQL for Data Analytics

Database concepts and relational data models

Writing complex SQL queries for data extraction

Joins, subqueries, and common table expressions

Aggregate functions and grouping operations

Window functions for advanced analysis

Python Programming Fundamentals

Python syntax, data types, and control structures

Functions, modules, and object-oriented programming concepts

Working with files and directories in Python

Error handling and debugging techniques

Python virtual environments and package management

Data Analysis with Python

NumPy for numerical computing and array manipulation

Pandas for data manipulation and analysis

Data visualization with Matplotlib and Seaborn

Jupyter notebooks for interactive data exploration

Automating data analysis workflows with Python scripts

Data Visualization Principles

Fundamentals of effective data visualization

Choosing appropriate chart types for different data scenarios

Color theory and accessibility considerations

Storytelling with data techniques

Avoiding common visualization pitfalls and misleading graphics

Tableau for Business Intelligence

Creating interactive dashboards and visualizations

Connecting to various data sources

Calculated fields and parameters

Geographic mapping and spatial analysis

Publishing and sharing Tableau visualizations

Data Analytics Career Preparation

Building an effective data analytics portfolio

Resume preparation and job application strategies

Interview preparation with practice problems

Networking in the data analytics community

Continuous learning resources and certification paths

A course by

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