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.
Level
Advanced
Duration
8 Weeks



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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.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Data Analytics
Understand the fundamentals of data analytics and its business applications.
Data Collection & Data Sources
Recognize how to collect data from various sources, both structured and unstructured.
Data Preparation & Cleaning
To ensure accurate analysis, learn how to clean, transform, and preprocess data.
Exploratory Data Analysis (EDA)
Find trends, identify abnormalities, and provide a statistical and visual summary of datasets.
Data Visualization
Develop your ability to convey ideas through captivating and understandable images.
Statistical Analysis for Data Analytics
Utilize statistical methods for data analysis and interpretation.
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Scenario: Analyzed large scale search and ad data to uncover user behavior trends improve campaign targeting accuracy and build dashboards for strategic decisions
Scenario: Developed predictive analytics models using sales inventory and customer data to forecast demand reduce stock gaps and support supply chain planning
Scenario: Processed social media interaction data to measure engagement optimize content reach and provide insights for data driven marketing strategies
Scenario: Evaluated cloud platform usage data to track performance trends optimize resource allocation and support enterprise decision making

Additional Support We Provide
24/7 Support
LinkedIn Profile
Resume Writing
Alumni Sessions
Interview Preparation
Live Projects
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