Data Science 360 - Hybrid
Prepare for a rewarding journey into the world of data science and analytics with Data Science 360. Uncover insights, make data-driven decisions, and unlock exciting career opportunities. Enroll today and take your first step towards becoming a Data Analytics or Data Science expert.
₹25999.00 ₹59999.00 57% OFF
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Course Overview
Unlock the full potential of Data Analytics and Data Science with our comprehensive program, Data Science 360. With 300 hours of immersive learning content, practice material, real-world case studies, and assignments, this program equips you with the skills and knowledge necessary to excel in the field of Data Analytics and Data Science.
Skills Covered:
1. Advanced Excel: Master the art of data manipulation and analysis using Excel.
2. VBA for Macros: Automate tasks and streamline data processes with Visual Basic for Applications.
3. Data Analytics with SQL: Learn to query, extract, and analyze data using SQL.
4. Data Analytics & Visualization with PowerBi: Create compelling visualizations, perform advanced analytics with Power Query & DAX and gain insights from data with PowerBi.
5. Data Analytics & Visualization with Tableau: Create compelling visualizations and gain insights from data with Tableau.
6. Data Science with R: Harness the power of R for statistical analysis and data modeling.
7. Data Science with Python: Dive into the world of Python for machine learning and data science projects.
Program Highlights:
• Course Completion Certificate: Earn a Industry recognized & shareable certificate upon successful completion of the program.
• Job Assistance: Access valuable support for launching or advancing your career in data science.
• Paid Industrial Internship: Gain practical experience through a paid internship with industry leaders.
• Weekly Live Sessions: Get your questions answered and stay on track with regular live online sessions on every weekend.
Schedule of Classes
Start Date & End Date
May 15 2024 - Oct 13 2024
Course Curriculum
7 Subjects
Data Analytics with Excel
21 Learning Materials
Class Files
Brainalyst Excel Module 1
Brainalyst Excel Module 2
Extra Class File
Brainalyst Excel Module 3
Brainalyst Excel Module 4
Excel Fundamentals
Class 1
Advanced Excel Functions
Class 2
Data Analysis with Excel
Class 3
Excel Data Visualization
Class 4
Excel Data Visualization & Dashboarding
Class 5
Case Studies & Assignments
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7
Assignment 8
Assignment 9
Case Study 1
Case Study 2
VBA for Macros
20 Learning Materials
Automate and Enhance Excel with VBA: From Fundamentals to Advanced Applications
Excel Macros (VBA) Class 1
Excel VBA Macros: From Basic Automation to User Form Mastery
Excel Macros (VBA) Class 2
VBA for Macros: Elevating Excel with Advanced Techniques and Robust Error Handling
Excel Macros (VBA) Class 3
Harnessing Excel VBA: From Data Manipulation to Dynamic Analysis and Extension
Excel Macros (VBA) Class 4
Excel VBA for Data Analysis: From SQL Integration to Custom Add-Ins
Excel Macros (VBA) Class 5
Class Files
Case Studies & Assignments
Task 1
Task 2
Task 3
Task 4
Task 5
Task 6
Task 7
Task 8
Task 9
Task 10
Task 11
VBA Case Study - Basic
VBA Case Study - Basic - Dataset
VBA Case Study - Advance
VBA Case Study - Advance Dataset
Data Analytics with SQL
12 Learning Materials
SQL Fundamentals
Class 1
SQL Queries and Filtering
Class 2
Advanced SQL Techniques
Class 3
SQL Aggregation and Grouping
Class 4
SQL Joins and Relationships
Class 5
SQL Subqueries and Optimization
Class 6
Case Studies & Assignments
Assignment 1
Assignment 2
Assignment 3
Case Study - Basic 1
Case Study - Basic 2
Assignment - Medium Level
Data Analytics & Visualization with Tableau
6 Learning Materials
Introduction to Tableau & BI Tools
Tableau_Class_1
Start Working with Tableau
Tableau_Class_2
Start with Analytics & Visualization
Tableau_Class_3
Advance Analytics & Visualization
Tableau_Class_4
Advance Analytics & Visualization-1
Tableau_Class_5
Advance Analytics & Visualization-2
Tableau_Class_6
Data Analytics & Visualization with PowerBi
6 Learning Materials
Introduction to Concepts of BI & PowerBi
PowerBi Class 1
Data Transformation with PowerBi
PowerBi Class 2
Data Modeling with PowerBi
PowerBi Class 3
DAX & DAX Functions in PowerBi
PowerBi Class 4
Data Visualization with PowerBi
PowerBi Class 5
Advance Analytics & Reporting with PowerBi
PowerBi Class 6
Data Science with R
23 Learning Materials
Get Start with R & R Studio
Class 1
Introduction to R Programming, Syntax, Best Practices, Working with Data Types and Operators
Class 2
Mastering R Libraries and Functions
Class 3
Mastering R: Type Casting, Data Types, and Date Manipulation
Class 4
Date & Time Handling and Data Structures
Class 5
Data Structures & Operations
Class 6
Data Structures & Handling
Class 7
Exploratory Data Analysis (EDA) in R
Class 8
EDA & Data Manipulation
Class 9
Data Manipulation
Class 10
Data Manipulation - 1
Class 11
Data Manipulation - 2
Class 12
Advanced Analytics with R
Class 13
Data Visualization with R - Exploring Charts
Class 14
Statistics
Class 15
Statistics - 1
Class 16
Statistical Inferences & Tests
Class 17
Statistical Tests
Class 18
Modeling Foundation
Class 19
Introduction to Linear Regression
Class 20
Linear Regression Advanced
Class 21
Linear& Logistic Regression
Class 22
Logistic Regression Advanced
Class 23
Data Science with Python
37 Learning Materials
Introduction to Python Programming and Anaconda Environment
Class 1
Python Fundamentals - Data Types, Operators, and Control Flow
Class 2
Python Fundamentals and Data Structures
Class 3
Python Fundamentals: Lists, Tuples, Dictionaries, Sets, Functions, and User Input
Class 4
Python Fundamentals & NumPy
Class 5
Data Manipulation with Python and Pandas
Class 6
Data Cleaning and Data Exploration with Python and Pandas
Class 7
Data Analysis and Preprocessing in Python
Class 8
Data Manipulation and Analysis in Python
Part 1
Part 2
Python Data Manipulation and Time Handling
Class 10
Data Visualization with Python - Exploring Statistical Charts
Class 11
Understanding Statistics in Python
Class 12
Understanding Statistical Concepts in Python
Class 13
Mastering Hypothesis Testing and Statistical Analysis with Python
Class 14
Statistical Analysis and Predictive Modeling in Python
Class 15
Regression Modeling in Python: Understanding Statistics and Building Linear Regression Models
Class 16
Predictive Modeling with Linear and Logistic Regression in Python
Class 17
Predictive Modeling with Linear and Logistic Regression in Python-1
Machine Learning Class 1
Understanding and Applying Machine Learning
Machine Learning Class 2
Machine Learning: Understanding Complex Data Modeling, Regression Techniques, and Decision Trees
Machine Learning Class 3
Machine Learning Concepts: From Decision Trees to Ensemble Learning
Machine Learning Class 4
Machine Learning with Python: Decision Trees, Ensemble Learning, and K-Nearest Neighbors
Machine Learning Class 5
Machine Learning Concepts: K-Nearest Neighbors, Naïve Bayes, and Support Vector Machines
Machine Learning Class 6
Machine Learning with Python: From Fundamentals to Practical Implementation and Clustering Techniques
Machine Learning Class 7
Python Machine Learning: K-Means and DBSCAN Clustering Techniques
Machine Learning Class 8
Time Series Analysis in Python
Machine Learning Class 9
Text Mining and Analytics with Python
Machine Learning Class 10
Advanced Text Processing and Web Scraping Techniques in Python
Machine Learning Class 11
From Words to Predictions: Mastering Text Processing and Time Series Forecasting in Python
Machine Learning Class 12
Transforming Text into Insights: NLP, Sentiment Analysis, and Clustering in Python
Machine Learning Class 13
Exploring Textual Data: Topic Modeling, Sentiment Analysis, and Clustering with Python
Machine Learning Class 14
Time Series Forecasting: From Basics to Advanced Applications in Python
Machine Learning Class 15
Predictive Analytics: SARIMAX Forecasting and Market Basket Insights in Python
Machine Learning Class 16
Advanced Analytics in Python: From Apriori to AI-Powered Recommendations
Machine Learning Class 17
Neural Networks and Strategic Machine Learning Approaches in Python
Machine Learning Class 18
Optimization in Predictive Modeling: From Logistic Regression to Clustering
Machine Learning Class 19
Course Instructor
Nitin Sharma
26 Courses • 344 Students
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