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Analytics
5★ · 122 Google reviews

Data Analytics with Python Course in Bangalore

Master data wrangling, EDA, and visualization with Python's powerful libraries

About This Course

This course makes you proficient in Python-based data analytics using Pandas, NumPy, Matplotlib, and Seaborn. You will learn data cleaning, transformation, exploratory data analysis (EDA), statistical analysis, and advanced visualization techniques. Work with real Kaggle datasets and build a portfolio of analytics projects that showcase your skills to employers.

Course Highlights

Pandas mastery: DataFrames, groupby, merge, pivot, time series
NumPy for fast numerical computation and array manipulation
Matplotlib and Seaborn for publication-quality visualizations
Exploratory Data Analysis (EDA) workflows and best practices
Statistical analysis: hypothesis testing, correlation, regression
Real Kaggle projects for portfolio building

Syllabus & Modules

Python refresher, Jupyter notebooks, data types, control flow, functions, and setting up the analytics environment.
Array creation, indexing, slicing, reshaping, broadcasting, vectorized operations, random sampling, and performance tips.
Series and DataFrames, reading/writing data (CSV, Excel, JSON), filtering, sorting, groupby, merge, concat, pivot tables, and multi-index.
Handling missing values, duplicates, outliers, data type conversion, string operations, datetime handling, and feature engineering.
Matplotlib fundamentals, Seaborn statistical plots, heatmaps, pair plots, subplots, customization, themes, and interactive plots with Plotly.
EDA workflow, univariate/bivariate/multivariate analysis, hypothesis testing, correlation matrices, and presenting findings with storytelling.

Why Learn Data Analytics with Python?

Mastering Data Analytics with Python is one of the most in-demand skills in today's data-driven job market. Companies across all industries are looking for professionals who can work with data effectively. This course prepares you with practical, job-ready skills backed by real-world projects and industry mentorship. With our 100% placement assistance, you'll be well-positioned to land roles that leverage these skills.

Who Should Join?

Fresh graduates looking to start a data career
Working professionals wanting to upskill
Career changers from non-tech backgrounds
Entrepreneurs and business owners
Anyone passionate about learning data skills

Course Details

Duration 10 Weeks
Level Beginner to Advanced
Mode Online / Offline
Projects 8+ Projects
Rating 5★ (122 reviews)
Certificate Yes
Placement 100% Assistance

What You Get:

Live instructor-led training
Hands-on projects & assignments
Industry-recognized certificate
Lifetime access to materials
Resume & interview preparation
Dedicated mentor support
Placement assistance
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EMI options available

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FAQs

Questions About Data Analytics with Python

No prior experience is required! This course starts from the basics and gradually builds up to advanced topics. We welcome complete beginners, career changers, and professionals from any background.
The course runs for 10 Weeks with both weekday and weekend batch options. Classes are conducted online / offline, so you can choose what fits your schedule best. Each session is approximately 1.5 to 2 hours.
Yes! Upon successful completion of the course and projects, you will receive an industry-recognized certificate from Leaders Data Science Learning Center. This certificate is valued by employers and can be added to your resume and LinkedIn.
Absolutely! We provide 100% placement assistance including resume building, mock interviews, portfolio review, LinkedIn optimization, and connections with 50+ hiring partners. Our average placement time is 30 days after course completion.
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