Name: Introduction To Diploma in Data Analyst Program | Henry Harvin
Uploaded: 2023-10-09 20:07:50
Description: Enhance your analytical skills with the Diploma in Data Analyst | Build a strong Data Analytics foundation with the Analytics fundamentals | Designed by experts with real-life projects and industry-related case studies

Module 1: R Programming
In this module, learn about Data manipulation and cleaning using packages
- R Programming
- Random Forests
- K-Means Clustering
- Basic R syntax and data types
- Data manipulation and cleaning using packages
- Data visualization with ggplot2
- Statistical analysis using packages like stats and infer
- Predictive modeling and machine learning with packages like caret and random Forest
- Working with big data using packages like data.table and dplyr (with databases)
- Web scraping and text mining using packages
Module 2: Python Programming
In this module, learn about User-Defined And Lamda Functions
- Introduction to Python
- Python objects
- User-Defined And Lamda Functions
- Numpy
- Pandas
- Data Frame Manipulation
- Visualization - Part 1
- Visualization - Part 2
- EDA
- Basic Python syntax and data types
- Data manipulation and cleaning using libraries like NumPy and Pandas
- Data visualization with libraries like Matplotlib and Seaborn
- Statistical analysis using libraries like SciPy and Statsmodels
- Predictive modeling and machine learning with libraries like Scikit-learn and TensorFlow
- Working with big data using libraries like PySpark or Dask
- Web scraping and text mining using libraries like Beautiful Soup and NLTK
Module 3: Natural Language Processing
Learn about natural language processesng and sentiment analysis
- Natural Language Processing & Nltk
- Advanced Natural Language Processing & Spacy
- Text Preprocessing And Tokenization.
- Sentiment analysis.
- Named Entity Recognition (NER).
- Text classification.
- Word embeddings
Module 4: Statistics & Probability
In this module, learn about Data, descriptive Stats, and statistics & probability
- Introduction to Statistics
- About Data
- Descriptive Stats
- Probability Theory
- Data Distribution
- Hypothesis Testing
- Inferential Stats
- Sampling Techniques
- Statistical Tests
Module 5: Power BI
In this modules, learn about business intelligence and microsoft power bi
- Business Intelligence (BI) Concepts
- Microsoft Power BI (MSPBI) Introduction
- Connecting Power BI with Different Data Sources
- Power Query for Data Transformation
- Data Modelling in Power BI
- Reports in Power BI
- Reports & Visualization Types in Power BI
- Dashboards in Power BI
- Data Refresh in Power BI
- Projects — End to End Data Modelling & Visualization
Module 6: Tableau
Learn about working with metadata and data blending
- Introduction to Data Visualization and Power of Tableau
- Architecture of Tableau
- Working with Metadata and Data Blending
- Creation of Sets
- Working with Filters
- Organizing Data and Visual Analytics
- Working with Mapping Preview
- Working with Calculations and Expressions
- Working with Parameters Preview
- Charts and Graphs
- Dashboards and Stories
- Tableau Prep
- Integration of Tableau with R and Hadoop
Module 7: SQL Developer
SQL Developer and learn about string fucntions
- SQL Overview
- SQL Manipulation
- JOIN
- String Functions
- Mathematical Functions
- Date-Time Functions
- Tuning Tips
Module 8: Big Dat Hadoop
Learn about Machine Learning With Spark And Real-Time Streaming
- Hadoop Framework
- Spark
- Machine Learning With Spark And Real-Time Streaming
Module 9: Industry 4.0
In this module, learn about Challenges & Impact Of Industry 4.0
- Introduction
- Smart Factory
- Challenges & Impact Of Industry 4.0
- Pillars Of Industry 4.0
Module 10: Computer Vision Course
In this module, learn about Challenges & Impact Of Industry 4.0
- Introduction To Image Processing
- CNNs
- Challenges & Impact Of Industry 4.0

Diploma in Data Analyst Program

04 Nov 2024

144 Hours

04 Nov 2024

144 Hours

Book a Live Class, For Free!

Accreditations & Affiliations

Know the complete offerings of our Diploma in Data Analyst Program

Key Highlights

144 Hours of Instructor-Led Sessions

48 Hours of Live Interactive Doubt Solving Sessions

24 Hours of Live Master Sessions by Industry Experts

288 Hours Self Paced Learning

Job-Ready Portfolio of 14+ Capstone Projects

92 Auto-Graded Assessments

28+ Industry Case Studies

216 Hours of Guided Hands-On Exercises

14+ Assignments and Mini Projects

2 Mock Interviews and 3 Hackathons

Get 18 Months of Gold Membership of Henry Harvin® Data Science & Analytics Academy

Get a guaranteed Internship with Henry Harvin® and in top MNC's like J.P. Morgan, Accenture & many more via Forage.

Earn Certification of Course from Jain University, Henry Harvin® a Govt of India recognized & Award-Winning Institute, and NSDC Certification.

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About the Diploma in Data Analyst Program

Diploma in Data Analyst Program

AGOTA™ Framework

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Learning benefits

Curriculum For Diploma in Data Analyst Program

Module 1: R Programming

Module 2: Python Programming

Module 3: Natural Language Processing

Module 4: Statistics & Probability

Module 5: Power BI

Module 6: Tableau

Module 7: SQL Developer

Module 8: Big Dat Hadoop

Module 9: Industry 4.0

Module 10: Computer Vision Course

Admission Closes On 04 Nov 2024

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Starts in 3 day. 04 Nov 2024

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What you'll Learn in this course

Python Programming

Natural Language Processing

Advanced Natural Language Processing & Spacy

Text Preprocessing And Tokenization

Statistics & Probability

Probability Theory

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