Become a Certified Data Analyst and Unlock Your Future!

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3 Month Personalized Live Data Analyst Training is taught by industry experts in a comprehensive & question-oriented format.

Enroll Before: Sep 01, 2024

Key Highlights Of The Data Analyst Course

Get familiar with our online Data Anaylst course syllabus.

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Syllabus

Our hybrid online Data Analyst course is designed to teach students the basics to the advanced level concepts of Data Analyst with practice assignments and offline in-class projects which helps them to get placed in MNC’s.

Term 1

In this term, you will learn how to ace Data Analytics

Introduction to Data Analysis

Overview of Data Analytics
Role of a Data Analyst
Introduction to Data-Driven Decision Making
Tools and Technologies used in Data Analysis

Term 2

In this term, you will learn how to ace Data Analytics

Power BI

Intro to Power BI
Data Acquisition & Transform.
Modeling Basics
Visualization Techniques
Formatting & Custom Visuals
Advanced DAX
Power Query M Language
Power BI Service
Data Refresh and Gateways
Power BI Administration
Dataflow
Paginated Reports
Performance Optimization
Power BI Embedded
Final Project and Review

Term 3

In this term, you will learn how to ace Data Analytics

DCDW

Data Collection And Data Wrangling

Data Sources and Types
Data Collection Techniques
Data Cleaning and Preprocessing
- Handling Missing Data
- Data Transformation and Normalization
- Outlier Detection and Treatment
Introduction to Data Wrangling Tools (e.g., Excel, SQL, Python)

DSDV

Descriptive Statistics and Data Visualization

Measures of Central Tendency (Mean, Median, Mode)
Measures of Dispersion (Range, Variance, Standard Deviation)
Data Distribution (Normal, Skewness, Kurtosis)
Introduction to Data Visualization
- Charts and Graphs (Bar, Pie, Line, Histogram)
- Dashboarding (using Power BI, Tableau)

Data Visualization Best Practices

Term 4

In this term, you will learn how to ace Data Analytics

Data Analysis with Excel

Excel Basics: Formulas, Functions, and Pivot Tables
Data Analysis Tools in Excel
Performing Statistical Analysis in Excel
Creating Data Models in Excel
Advanced Excel Functions (VLOOKUP, INDEX-MATCH)

Term 5

In this term, you will learn how to ace Data Analytics

SQL for Data Analysis

Introduction to Databases and SQL
Basic SQL Queries
- SELECT, INSERT, UPDATE, DELETE
SQL Joins and Subqueries
Data Aggregation and Grouping
Advanced SQL Functions (Window Functions, CTEs)
SQL for Data Analysis: Case Studies

Data Analysis with Python

Introduction to Python Programming
Python Libraries for Data Analysis (Pandas, NumPy, Matplotlib, Seaborn)
Data Manipulation with Pandas
- DataFrames, Series, Indexing, and Filtering
Exploratory Data Analysis (EDA)
- Descriptive Statistics, Correlation Analysis
Data Visualization in Python
- Creating Visualizations with Matplotlib and Seaborn

Statistical Analysis

Probability Theory
Hypothesis Testing
- t-tests, ANOVA, Chi-Square Test
Regression Analysis
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
Introduction to Time Series Analysis

Term 6

In this term, you will learn how to ace Data Analytics

Data Storytelling and Reporting

The Importance of Data Storytelling
Techniques for Effective Data Communication
Creating Reports and Dashboards
Presenting Data Analysis Results to Stakeholders

Capstone Project

Real-World Data Analysis Project
Problem Identification and Data Collection
Data Cleaning and Analysis
Visualization and Reporting

Presentation of Findings

Career Preparation

Building a Data Analyst Portfolio
Resume Writing and Interview Preparation
Networking and Industry Best Practices
Job Search Strategies and Career Pathway

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HOURS OF LIVE LEARNING

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Live Projects

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HOURS OF VIDEO LEARNING

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Detailed Course Syllabus & Trainer List

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Tools You’ll Master

Join our comprehensive Data Analyst course and qualify for top industry roles, including:

Power BI Developer

Master the art of creating interactive dashboards and reports with Power BI.
Gain the skills to transform raw data into meaningful insights.
Become a key player in data-driven decision-making processes.

Data Analyst

Learn to analyze complex datasets, identify trends, and make data-driven recommendations.
Develop expertise in tools like Excel, SQL, and Python for effective data analysis.
Step into a role that is at the heart of business strategy and performance.

MIS Analyst

Specialize in managing and interpreting data to improve business efficiency.
Use tools like Excel and SQL to generate and analyze reports for management.
Become the go-to expert for management information systems in your organization.

Process Excellence Analyst

Focus on improving business processes through data analysis and optimization.
Gain skills in identifying process bottlenecks and recommending solutions.
Play a crucial role in enhancing productivity and driving organizational success.

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