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Data Analytics And Visualization

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Data Analytics And Visualization

Enter the era of data-driven decision-making with our career-focused program. From mastering Excel, SQL, and Python to advanced analytics techniques and powerful visualization tools like Tableau and Power BI, you’ll develop the skills to interpret data, uncover patterns, and present insights with impact. Through practical projects, real business case studies, and expert guidance, this course prepares you to turn raw data into actionable strategies — opening doors to high-demand careers in business intelligence, data analytics, and visualization.

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7 Months

.Duration

Virtual Live

Classes

100% Job

Assurance

Languages

English | Hindi

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Course Highlights

Data Handling & Cleaning

Master Excel, SQL, and Python for data preparation and transformation.

Data Visualization Tools

Hands-on with Tableau, Power BI, and Python visualization libraries.

Dashboard & Storytelling

Build interactive dashboards and present compelling data stories.

Career Support

Resume building, mock interviews & placement guidance

Master these Tools

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Skills Covered

SQL for Data Analytics

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Exploratory Data Analysis (EDA)

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Big Data Awareness

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Data Cleaning & Preparation

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Python for Analytics

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Dashboard Development

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Course Curriculum

This program takes you from the foundations of data analysis to advanced visualization. You’ll learn Excel, SQL, Python, Tableau, and Power BI while mastering data cleaning, statistical analysis, dashboards, and storytelling with data through real-world projects.

  • . What is Data Analytics? Types & Lifecycle
    . Data Analytics vs Data Science vs BI
    . Role of Data Analysts in Businesses
    . Analytics in Different Industries (Finance, Healthcare, Retail, Marketing)
    . Tools & Ecosystem Overview (Excel, SQL, Python, R, Tableau, Power BI)
    . Importance of Data-Driven Decision Making
    . Case Studies: Successful Data Analytics Applications
  • . Excel Basics & Interface
    . Data Cleaning in Excel
    . Sorting, Filtering, Conditional Formatting
    . Formulas & Functions (VLOOKUP, HLOOKUP, INDEX, MATCH)
    . Pivot Tables & Pivot Charts
    . Excel Charts & Visualization
    . Data Validation & Error Handling
    . Using Macros & VBA Basics
    . Excel Add-ins for Data Analysis
  • . Introduction to Databases & SQL
    . Writing Basic Queries (SELECT, WHERE, ORDER BY)
    . Filtering & Sorting Data
    . Joins (INNER, OUTER, CROSS)
    . Aggregate Functions & GROUP BY
    . Subqueries & Nested Queries
    . Window Functions (ROW_NUMBER, RANK, PARTITION BY)
    . CTEs (Common Table Expressions)
    . SQL for Data Cleaning & Transformation
    . Real-World Case Studies with SQL
  • . Python Basics (Syntax, Data Types, Loops, Functions)
    . Python Libraries: NumPy & Pandas
    . Data Import/Export (CSV, Excel, SQL)
    . Data Cleaning with Pandas
    . Exploratory Analysis with Pandas
    . Matplotlib & Seaborn Basics
    . Introduction to Scikit-learn
    . Basic Machine Learning in Python
    . AI Applications Basics with Python
  • . Importance of Data Quality
    . Handling Missing Data
    . Outlier Detection & Treatment
    . Feature Scaling (Standardization, Normalization)
    . Data Encoding (Label, One-Hot)
    . Handling Duplicates & Inconsistencies
    . Automating Data Cleaning Pipelines
    . Real-Life Data Cleaning Case Studies
  • . Descriptive Statistics
    . Measures of Central Tendency (Mean, Median, Mode)
    . Measures of Dispersion (Variance, Standard Deviation)
    . Probability Basics
    . Probability Distributions (Normal, Binomial, Poisson)
    . Hypothesis Testing (Z-Test, T-Test, Chi-Square)
    . Correlation & Regression Analysis
    . ANOVA
    . Bayesian Statistics for Decision Making
  • . Importance of EDA in Analytics
    . Univariate, Bivariate & Multivariate Analysis
    . Data Visualization in EDA
    . Outlier Detection during EDA
    . Feature Engineering in EDA
    . Automated EDA Tools (Pandas-Profiling, Sweetviz, D-Tale)
    . Case Studies: EDA for Real Datasets
  • . Principles of Data Visualization
    . Choosing the Right Chart Type
    . Common Visualization Techniques (Bar, Line, Scatter, Pie, Histograms)
    . Advanced Visualizations (Heatmaps, Boxplots, TreeMaps)
    . Interactive Visualizations
    . Visualizing Large Datasets
    . Storytelling with Data
    . Avoiding Misleading Visualizations
  • . Introduction to Tableau Interface
    . Connecting to Data Sources
    . Data Cleaning in Tableau
    . Building Charts & Dashboards
    . Filters, Parameters, and Sets
    . Calculated Fields
    . Advanced Visualizations (Maps, TreeMaps, Waterfall, Gantt)
    . Dashboard Design Principles
    . Publishing & Sharing Tableau Dashboards
  • . Power BI Basics & Interface
    . Importing Data from Multiple Sources
    . Data Cleaning with Power Query
    . Building Charts & Visualizations
    . DAX (Data Analysis Expressions) Basics
    . Advanced DAX Functions
    . Interactive Dashboards in Power BI
    . Power BI Service & Cloud Sharing
    . Real-Time Data in Power BI
  • . Introduction to Predictive Analytics
    . Regression Models
    . Classification Models
    . Time Series Forecasting
    . Clustering for Customer Segmentation
    . Recommendation Systems
    . Using ML Models in Business Decision Making
    . AI in Predictive Analytics
    . Case Studies in Predictive Modeling
  • . Introduction to Big Data
    . Hadoop & HDFS Basics
    . Apache Spark for Analytics
    . Spark SQL
    . Streaming Data with Kafka
    . Big Data in Cloud Platforms (AWS, GCP, Azure)
    . Data Lakes vs Data Warehouses
    . Cloud-Based Analytics Tools (Google BigQuery, AWS Redshift)
    . Real-Time Analytics on Cloud
  • . Matplotlib Advanced
    . Seaborn Advanced
    . Plotly for Interactive Visuals
    . Dashboards with Plotly Dash
    . Bokeh for Advanced Charts
    . Altair for Declarative Visualizations
    . Streamlit for Analytics Apps
    . Comparing Python Visualization Libraries
  • . What is Business Analytics?
    . Descriptive, Predictive & Prescriptive Analytics
    . Decision Trees for Decision Making
    . Optimization Models
    . Simulation Techniques
    . Business Metrics & KPIs
    . Case Studies in Business Analytics
    . Data-Driven Strategy Building
  • . End-to-End Data Analytics Project
    . Building Dashboards with Tableau & Power BI
    . Predictive Analytics Case Study
    . E-commerce Analytics Project
    . Financial Data Analysis
    . Healthcare Data Visualization Project
    . Big Data Case Study
    . Presentation & Documentation of Projects
  • . Resume Building for Data Analytics Roles
    . Portfolio Building (GitHub, Tableau Public, Power BI Service)
    . Top 100 Interview Questions in Data Analytics
    . SQL, Python, and Case Study Interviews
    . Freelancing Opportunities in Data Analytics
    . Building LinkedIn & Networking for Jobs
    . Certifications for Data Analytics (Google, Microsoft, Tableau)
    . Career Pathways: Data Analyst → Data Scientist → BI Analyst
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About Data Analytics And Visualization Course

Our Data Analytics & Visualization with AI Integration Program is designed to equip you with the skills to analyze, visualize, and derive actionable insights from complex data. You’ll master data manipulation, exploratory data analysis (EDA), SQL, Python, BI tools (Tableau, Power BI), big data processing, and AI-powered analytics—empowering you to build real-world dashboards, predictive models, and data-driven solutions to accelerate your career or start your freelancing journey.

✅ Practical, Project-Based Learning
Through hands-on labs, live projects, and real-world case studies, you’ll gain practical experience in data preparation, visualization, predictive modeling, and AI integration. You’ll graduate with a strong portfolio demonstrating your ability to generate insights, build dashboards, and apply AI to real business problems, making you job-ready for high-demand analytics roles.

✅ Expert Mentorship & Career Support
Learn directly from industry experts, get personalized career guidance, prepare for analytics certifications, and ace technical interviews. Earn a recognized certification to stand out to employers and clients in the competitive Data Analytics & AI space.

✅ For Everyone Ready to Master Data Analytics + AI
Whether you’re a student, IT professional, or entrepreneur, this program will help you master data analytics, visualization, AI-powered insights, and decision-making—preparing you for the future of data-driven businesses.

👥 Who Should Enroll?
✔ Students & graduates aiming to start a career in Data Analytics, Business Intelligence, or AI-driven roles
✔ Working professionals looking to upskill or switch to Data Analytics & Visualization careers
✔ Entrepreneurs & tech founders wanting to leverage data and AI to drive business decisions

Earn Industry Recognised Certificates from:

Career Opportunities After the Course

List potential roles students can pursue after completing the course, such as
  • Data Analyst
  • Business Intelligence (BI) Analyst
  • Data Visualization Specialist
  • Machine Learning / AI Analyst
  • Analytics Consultant / Freelancer
  • Big Data Analyst
  • AI & Data Analytics Specialist

With 100% job assurance, our course prepares you for a lucrative career in Data Analytics.

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Live Virtual Classes

₹24999

EMI Options Available

Batch Timings

📅 Weekday Batches
🕖 Monday to Friday | 7:00PM – 9:00PM

📅 Weekend Special Batches
🕖 Saturday | 4:00 PM – 9:00 PM
🕖 Sunday | 10:00 AM – 3:00 PM

   ⭐ Intensive interview preparation.
⭐ Real-life interview case study.

Total Course Duration : 6 Months

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Our Alumni Works At

Alumni's Testimonies

I loved how the course balanced theory with practice. Learning Python, Tableau, Power BI, and AI-driven analytics in one program made me job-ready for high-demand roles.
Timmpa Anil Gopal
Data Analyst
I came from a non-technical background, but the course’s structured modules and AI-focused projects made everything easy to understand and apply.” — Sahil T., Junior Data Scientist
Pranshu Bhariya
Buisness Analyst

Frequently Asked Questions

About Us

At HITMI, we’re committed to delivering cutting-edge education across today’s most in-demand tech domains. With hands-on training, real-world tools, and 100% job assistance, our programs empower individuals to thrive in the fast-paced digital economy.Whether you’re starting fresh or upskilling, our expert-led courses help you stay ahead in the world of tech and innovation.

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  • Office No. 1 & 2, Target Mall, Chandrawarkar Road, Borivali (West), Mumbai - 400092.
  • +91 9987210168
  • hitmiindia@gmail.com

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