Data Analytics Training

LIVE TRAINING

10 Courses in 1 Program

50 Modules & 100+ AI Tools

10+ Live Projects

10+International Certifications & Certification Program

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Program Highlights

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15+ Years
Experience Trainer
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Duration
3 Months
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Modules
60+ Modules
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Students
1000+ Trained
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Training Mode
One to One

Learning Curriculum in 2025

Our Data Analytics course is designed to equip you with essential skills, from foundational concepts to advanced techniques. You will gain hands-on experience in data collection, cleaning, analysis, visualization, and machine learning. Our structured curriculum ensures you develop the expertise to tackle real-world data challenges with confidence and efficiency.

Module 1

Social Media Marketing
Intro to Data Analytics

Learn the basics of data-driven decision-making and its real-world applications. Gain an overview of the analytics process, tools, and techniques.

Module 2

Social Media Marketing
Data Collection & Sources

Understand different data types, sources, and collection methods. Learn how to gather reliable and high-quality data for analysis.

Module 3

SEO Optimization
Data Cleaning & Preprocessing

Master data cleaning techniques to handle missing, duplicate, and inconsistent data. Ensure data quality for accurate insights.

Module 4

Content Creation
Exploratory Data Analysis

Analyze data distributions, trends, and outliers using statistical methods. Use visualization techniques to uncover meaningful patterns.

Module 5

SEO Optimization
Statistical Analysis

Learn key statistical concepts like mean, variance, and hypothesis testing. Apply statistical methods to make data-driven decisions.

Module 6

Content Creation
Python for Data Science

Explore Python's powerful libraries for data manipulation and analysis. Write scripts to automate tasks and extract insights.

Module 7

Social Media Marketing
R for Data Analytics

Use R for statistical computing and data visualization. Perform complex data analysis and modeling with R’s built-in packages.

Module 8

Content Creation
SQL for Data Retrieval

Master SQL queries to extract, filter, and join datasets from relational databases. Learn database optimization techniques for faster processing.

Module 9

Branding Strategy
Data Wrangling

Transform raw data into a structured format for better analysis. Use tools like Pandas and Power Query for efficient data handling.

Module 10

Content Creation
Pandas & NumPy

Learn how to manipulate, analyze, and structure data using Pandas. Use NumPy for numerical computing and handling large datasets efficiently.

Module 11

Content Creation
Matplotlib & Seaborn

Create stunning static and interactive data visualizations. Use heatmaps, histograms, and scatter plots to analyze trends.

Module 12

Content Creation
Power BI & Tableau

Build dynamic dashboards and reports for data storytelling. Transform complex data into interactive visual representations.

Module 13

Content Creation
Business Intelligence

Use data to make strategic business decisions. Analyze market trends, customer behavior, and performance metrics.

Module 14

Social Media Marketing
Data Storytelling

Present data insights effectively to different audiences. Use visual and narrative techniques to communicate analytical findings.

Module 15

SEO Optimization
Advanced Excel

Learn pivot tables, macros, and advanced formulas for data analysis. Automate repetitive tasks and create dynamic reports.

Module 16

Social Media Marketing
Intro to Machine Learning

Understand how machine learning algorithms work. Explore applications in automation, prediction, and decision-making.

Module 17

Content Creation
Supervised & Unsupervised Learning

Learn the difference between classification, regression, and clustering. Implement models using real-world datasets.

Module 18

Branding Strategy
Predictive Analytics

Use statistical techniques to forecast future trends. Apply predictive models in business, healthcare, and finance.

Module 19

SEO Optimization
Deep Learning

Explore artificial neural networks and deep learning models. Build applications for image recognition, NLP, and automation.

Module 20

SEO Optimization
AI-Powered Analytics

Integrate AI techniques into data analytics workflows. Use AI to enhance decision-making and automate insights.

Module 21

SEO Optimization
Big Data Overview

Learn how to store, process, and analyze large datasets. Explore Hadoop, Spark, and cloud-based big data solutions.

Module 22

Social Media Marketing
Cloud Computing (AWS, Azure)

Use cloud platforms to scale data analytics solutions. Learn how to set up data pipelines in cloud environments.

Module 23

Content Creation
Hadoop & Spark

Understand distributed computing for processing massive datasets. Use MapReduce and Spark for parallel data processing.

Module 24

Content Creation
NoSQL Databases

Learn how to handle unstructured and semi-structured data. Use MongoDB and Cassandra for flexible data storage.

Module 25

Content Creation
Real-Time Processing

Analyze streaming data from IoT and social media. Use Kafka and Apache Flink for real-time analytics.

Module 26

Content Creation
Time Series Analysis

Forecast trends using historical time-dependent data. Apply ARIMA and exponential smoothing models for prediction.

Module 27

Content Creation
NLP & Text Analytics

Extract insights from textual data using NLP techniques. Analyze customer feedback, social media, and reviews.

Module 28

Social Media Marketing
Sentiment Analysis

Classify text data based on emotions and opinions. Use NLP models to understand public sentiment.

Module 29

SEO Optimization
Recommendation Systems

Build personalized product recommendations. Learn collaborative filtering and content-based techniques.

Module 30

Social Media Marketing
Fraud Detection

Identify fraudulent transactions using anomaly detection. Apply machine learning models to detect unusual patterns.

Module 31

Content Creation
A/B Testing

Conduct controlled experiments to compare different strategies. Optimize marketing campaigns and product changes.

Module 32

Branding Strategy
Data Governance & Ethics

Understand data privacy, security, and compliance. Learn how to handle ethical challenges in data usage.

Module 33

SEO Optimization
Data Security & Privacy

Protect sensitive data from breaches and cyber threats. Implement encryption and access control measures.

Module 34

SEO Optimization
Business Analytics

Use data to optimize business operations and profitability. Make data-driven strategic decisions for growth.

Module 35

Social Media Marketing
Market Segmentation

Divide customers into meaningful groups using data analysis. Use segmentation to improve marketing strategies.

Module 36

Content Creation
IoT & Data Analytics

Analyze sensor-generated data from IoT devices. Improve efficiency and automation using real-time analytics.

Module 37

Content Creation
Blockchain Analytics

Use data analytics to track blockchain transactions. Monitor cryptocurrency trends and detect fraud.

Module 38

Content Creation
Edge Computing

Process data closer to the source for faster insights. Optimize performance in real-time analytics applications.

Module 39

Content Creation
Data Engineering

Build and maintain data pipelines for analytics. Learn about ETL processes, data lakes, and warehousing.

Module 40

Content Creation
Case Studies & Projects

Apply data analytics skills to real-world projects. Solve industry-specific challenges using data-driven methods.

Future of Data Analytics with AI-Powered Tools

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OUR SUCCESS STORIES

With 4.7/5 ratings for 3525+ authentic reviews, Mindzee students have achieved remarkable career milestones with impressive job offers, salary packages and more than 3x business growth. Here's what our alumni have to say about their time at Mindzee!

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Meenal Bagare
Cracks 18-20Lakhs
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Marketing Analyt Data Analyst
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Vidya Shree
Cracks 10-12Lakhs
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Who Can Explore Learning Opportunities?

Students/Freshers

College students changes to kickstart a career in digital marketing and gain more practical skills for success.

Professionals

Professionals seeking to transition to a promising career in digital marketing for growth and opportunities.

Agency Owners

Entrepreneurs and agency owners aiming to enhance their brand presence and generate leads on digital platforms.

Coaches

Coaches who want to upskill your Knowledge in digital marketing and generate a source of passive income

Homepreneurs

Homepreneurs who want to upskill themselves in digital marketing and generate a source of passive income

Freelancers

Freelance marketers who want gain more national and international clients and generate steady income.

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Frequently Asked Questions

Join our club member community now to get free updates and also a lot of freebies are waiting for you

Anyone interested in data analytics, including beginners, working professionals, and students from any background, can join. No prior experience is required.

You will learn Excel, SQL, Python, R, Tableau, Power BI, and machine learning techniques for data analysis.

No, the course covers basic programming in Python and SQL, making it beginner-friendly.

You can become a Data Analyst, Business Analyst, Data Scientist, or BI Analyst in various industries like finance, healthcare, marketing, and e-commerce.

Yes, you will receive a recognized certification upon successful course completion.

Yes, you will work on real-world datasets, case studies, and a capstone project to gain hands-on experience.

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