Data Analytics using Python

Data Analytics using Python involves using Python programming language and its libraries to analyze, interpret, and visualize data to uncover insights and inform decision-making.

Data Analytics using Python Course Contents

Course Duration: 44 hours

Introduction to Data Analytics (4 Hours)

• Overview of data analytics
• Key concepts and terminology
• Applications and use cases

Python for Data Analytics (6 Hours)

• Basic Python programming
• Essential libraries: NumPy, Pandas
• Data manipulation and transformation

Data Cleaning and Preprocessing (4 Hours)

• Handling missing data
• Data normalization and standardization
• Data wrangling techniques

Data Visualization (4 Hours)

• Introduction to Matplotlib and Seaborn
• Creating basic and advanced plots
• Data storytelling with visualizations

Exploratory Data Analysis (EDA) (4 Hours)

• Techniques for EDA
• Identifying patterns and trends
• Statistical summaries and insights

Descriptive and Inferential Statistics (4 Hours)

• Measures of central tendency and dispersion
• Hypothesis testing
• Confidence intervals and p-values

Data Analysis with Pandas (4 Hours)

• Data frames and series
• Grouping, merging, and reshaping data
• Time series analysis

Machine Learning for Data Analytics (4 Hours)

• Introduction to machine learning concepts
• Supervised learning algorithms
• Model evaluation and validation

Advanced Analytics Techniques (4 Hours)

• Regression analysis
• Clustering and segmentation
• Anomaly detection

Real-World Data Analytics Projects (6 Hours)

• Hands-on project with real datasets
• End-to-end data analysis process
• Presenting findings and insights

Special Offer

Unlock the potential of Data Analytics using Python with our special course offer! For a limited time, get comprehensive training from industry experts, engage in hands-on projects, and earn a certification to boost your career.

₹5999

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Address

Office No. 3050, Marvel Fuego, Magarpatta Road, Above Nexa, Opp. to Seasons and WeWork, Hadapsar, Pune (MH) - 411028

Contacts

Phone: +91-8484833782
Phone: +91-9860433782

Time

09:00 AM to 6:00 PM
(Saturday & Sunday Off)

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