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CoursesData Analytics And Bi Training

Data Analytics Certification Training

Data Analytics And Bi Training

Data Analytics Certification Training

With our Data Analytics Certification Training by Techpratham, you'll learn how to turn raw data into useful information. Find out how to use tools, techniques, and frameworks to make business decisions based on data.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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Training Plan
Course Curriculum
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Projects
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AWS Logo
Capgemini Logo
Deloitte Logo
Genpact Logo
HP Logo
Intel Logo
Microsoft Logo
Infosys Logo
Zoho Logo
Zelis Logo
Wipro Logo
Saint Gobain Logo
ONX Logo
Nava Logo
Infosys Logo
HCL Logo
Egon Zehnder Logo
Cognizant Logo
Bosch Logo
Bank of America Logo

About 

Data Analytics Certification Training

This course covers all the basics of data analytics, including how to collect, clean, visualize, and model data to make predictions. You will learn how to use industry tools like Excel, SQL, Python, and Tableau/Power BI by doing them yourself. Find out how to read complicated datasets, make dashboards that matter, and use analytics to solve real-world business problems. After this training, you'll be ready for jobs in business intelligence and data analysis.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Data Analytics Certification Training

Course Curriculum

Introduction to Data Analytics

Understand the fundamentals of data analytics and its business applications.

Data types
Data lifecycle
Business use cases
Tools & technologies

Data Collection & Data Sources

Recognize how to collect data from various sources, both structured and unstructured.

Primary vs Secondary data
Databases, APIs, spreadsheets, logs
Web scraping basics
Data warehousing concepts

Data Preparation & Cleaning

To ensure accurate analysis, learn how to clean, transform, and preprocess data.

Handling missing values & duplicates
Data transformation & normalization
Outlier detection
Data pipelines (ETL: Extract, Transform, Load)

Exploratory Data Analysis (EDA)

Find trends, identify abnormalities, and provide a statistical and visual summary of datasets.

Descriptive statistics (mean, median, variance, correlation)
Data profiling
Visual exploration with charts & graphs
Tools: Python (Pandas, Matplotlib), Excel

Data Visualization

Develop your ability to convey ideas through captivating and understandable images.

Principles of effective visualization
Dashboards & storytelling with data
Tools: Power BI, Tableau, Excel
Advanced visualizations (heatmaps, treemaps, interactive charts)

Statistical Analysis for Data Analytics

Utilize statistical methods for data analysis and interpretation.

Probability distributions
Hypothesis testing
Regression analysis (linear & logistic)
Correlation & causation

Data Analytics And Bi Training Courses

No related courses found

Additional Program Highlights

Learning Metarials
Resume Writing
Interview Preparation
Evaluate Your self

Evaluate Your self

Test your knowledge...

Upcoming Batches

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Who Should Take

Data Analytics Certification Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Key Projects

<h1><strong>Data Analytics Certification Training</strong></h1>

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Sales Performance Dashboard

Make an interactive dashboard in Power BI or Tableau to look at sales performance by region and product. The project is all about cleaning up data, looking for trends, and setting key performance indicators (KPIs) so that management can make decisions based on data.

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Customer Churn Prediction

Use Python and machine learning to figure out how likely it is that a telecom company will lose customers. This project includes cleaning up the data, making new features, and making predictive models to find customers who are at risk.

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Market Basket Analysis

Use association rule mining on data from retail transactions to find patterns in how people buy things. This project helps with analyzing customer behavior, making recommendations, and cross-selling.

Placement Process

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Knowledge Center

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What Makes TechPratham Training Different?

Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
FAQ's
ABOUT CERTIFICATE

Course FAQs

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Industry-Recognized Certification

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