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Data Analytics Course With Placement

Learn Data Analytics Course at Anubhav with Industry Expert Trainer.

Anubhav Computer Institute is recognized as the Best Institute for Data Science course in Chembur, Govandi,  & Chembur Naka.

Review 4.8/5 (1878)

Top Data Science Course in Mumbai

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Student Enrolled

0 4.8

Google reviews

0 5 Months

Duration

0 240 Hours

Of Learning

0 Job Rediness

Certificate Program in DATA ANALYTICS

Why Should You Learn Data Analytics?

High Demand & Jobs – Every industry needs data analysts.
High Salary – Earn ₹5-8 LPA+ in India.
Easy to Start – No coding required; learn in 2-4 months.
Used in Every Industry – IT, Finance, Healthcare, Marketing, etc.
Work in Top Companies – Google, Amazon, TCS, Infosys, etc.
Helps Business Growth – Make data-driven decisions.
Freelance & Remote Work – Earn ₹50,000+ per month.
Career Shift to Tech – Perfect for beginners & professionals.

Future-proof your career with Data Analytics!

 

DATA ANALYTICS Course Syllabus

  • What is Data Analytics?

  • Types of Data Analytics (Descriptive, Diagnostic, Predictive, Prescriptive)

  • Applications of Data Analytics in Different Industries

  • Mean, Median, Mode, Standard Deviation, Variance

  • Probability & Distribution

  • Data Cleaning & Preprocessing

  • Handling Missing Data

  • Data Sorting & Filtering

  • Pivot Tables & Charts

  • Statistical Functions in Excel

  • Data Visualization in Excel

  • Introduction to Databases & SQL

  • CRUD Operations (Create, Read, Update, Delete)

  • Joins, Aggregations & Subqueries

  • Data Cleaning Using SQL

  • Introduction to Python & Jupyter Notebook

  • Libraries: Pandas, NumPy, Matplotlib, Seaborn

  • Data Manipulation & Visualization

  • Exploratory Data Analysis (EDA)

  • Power BI & Tableau Basics

  • Creating Dashboards

  • Interactive Visualizations

  • Supervised vs Unsupervised Learning

  • Regression & Classification Basics

  • Introduction to ML Libraries (Scikit-Learn, TensorFlow)

  • Real-World Data Analysis Project

  • Industry-Based Case Studies

  • Resume & Portfolio Building

Now Priced at Just

Rs.50,000/-

Duration: 5 Months

About Data Analysis

Data Analysis is the process of collecting, cleaning, processing, and interpreting data to find useful insights and support decision-making. It helps businesses understand trends, improve performance, and make data-driven decisions.

The process involves data collection, cleaning errors, analyzing patterns, and visualizing results using tools like Excel, SQL, Python, Power BI, and Tableau. Data analysis is widely used in business, marketing, finance, healthcare, and e-commerce to optimize strategies and improve efficiency.

With high demand and great career opportunities, learning data analysis can boost your career and help businesses grow! 

Our Location Center

Anubhav Data Science Class Near Chembur Station (Head Office)

Anubhav Data Science Class Near Govandi Station

Anubhav Data Science Class Near Chembur Naka

Frequently asked questions For Data Analysis

Data Analysis is the process of collecting, cleaning, and interpreting data to find insights and make informed decisions.

Anyone! Students, working professionals, and business owners can learn it. No coding experience is required to start.

Popular tools include Python, R, SQL, TensorFlow, Scikit-Learn, Power BI, and Tableau for data analysis and machine learning.

Yes, a certificate is provided upon course completion, and placement assistance is offered to help you secure relevant job opportunities.

The course fee is 50,000/- for the entire program.

The course duration is 5 months, providing a condensed and intensive learning experience.

Data Analysis Course with Certification and
100% Placement Assistance

This Data Analysis certification course will give you hands-on development experience and prepare you for an exciting career as a professional Data Science. Training Course will teach you the Data Science with the certification 100% guarantee placement.

Enroll in The Best training Program and Give Your Career Amazing Boost
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