DATA ANALYTICS COURSE
Data Analytics Training Program
Data Analytics
Master Training
Total Enrolled
1212+
Batches Completed
998+
Skilled Instructors
155+
Description
Our Data Analytics Training Program is crafted by our team of expert analysts to simplify complex theories, concepts, and assignments for you. We guide you step-by-step into the world of data analytics, making it easier to grasp and master. Through our training, you’ll acquire new skills and deepen your understanding, preparing you to excel in this challenging yet rewarding field.
Why to Choose Us:
- Live Project based Training
- Easy to Understand Study Material
- Verifiable Certification
- 100% Job Assistance Program
- Certified & Experienced Trainers
- Content as per Industry Standards
Pre-Requisite
- Basic Programming Skills
- Recommended for graduates
- No prior experience required; suitable for complete beginners
Curriculum
- 40 Modules • 88-90 Hours Course Duration
Advanced Python Programming
10 Lecture
- What is Anaconda Distribution?
- How it is different from Python Distribution?
- How to install Anaconda?
- Anaconda Repository
- Anaconda Navigator
- Integrating Anaconda with Pycharm
- Setting up Your GitHub Account
- Configuring Your First Git Repository
- Making Your First Git Commit
- Pushing Your First Commit to GitHub
- Git and GitHub Workflow Step-by-Step
- SQL/RDBMS database management
- SQL Queries
- CRUD Operations
- What is numpy?
- Numpy performance test
- Introduction to numpy arrays and Matrices
- Indexing and Selection
- Introduction to numpy function
- Numpy Operations Array with Array, Array with Scalars, Universal Array
- Functions
- Dealing with Flat files using numpy
- Mathematical functions
- Statistical functions
Integrating Anaconda with Pycharm
What is Pandas
Creating Series
Creating Data Frames
Grouping, Sorting
Group by Operations
Merging, Joining and Concatenating DataFrame
Pandas Operations
Data Input and Output from a variety of data formats like csv, excel, db, json etc
Missing Data (Imputation)
Data analysis with data set
Practical use cases using data analysis
- Type of Dataset: Numerical, Categorical and Ordinal
- Mean, Median and Mode
- Variance and Standard Deviation
- Probability Density Function(PDF) and Probability Mass Function (PMF)
- Percentiles and Moments
- Covariance and Correlation
- Conditional Probability
- Bayes’ Theorem Module
- Introduction to Seaborn
- Preparation of scatter data
- Figures in Seaborn
- Scatter plots in Seaborn
- Preparation of line plot data
- Line plots in Seaborn
- More on visualization
- Getting Data In
- Saving & Publishing
- Data Visualization Building Blocks
- Visualizations
- Modeling with Power BI
- Power BI Desktop Visualisations
- Power BI Service Visualisation Tools
- Publishing & Sharing
- Refreshing Datasets
- Covering all the concepts
- Project Work
- Resume Preparation
- Interview Question Preparation
Data Analytics Training Program
- Level
- Modules
- Duration
- Category
- Language
- Placement Assistance
- Certificate
- Resource
- Professional
- 40 Modules
- 88-90 Hours
- Data Analytics
- English
- Included
- Yes
- e-Content
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4.8
2129 Rating
Training Features
Experiential Workshops
Top-rated instructors provide in-depth training through hands-on exercises in high-energy workshops.
Certificate Exam Application Assistance
The training program features multiple lab assignments, designed to reflect real industry scenarios.
Certificate Exam Success Formula
The training begins with a fresh approach, featuring basic yet unique modules that are flexible and enjoyable.
Certificate Journey Support
Starting from basic to intermediate and eventually advancing to full hands-on lab exercises, you will practice until you master the skills.
Free Refresh Course
Refresh training for experts to master and enhance their skills on the subjects with updated course modules.
Exclusive Post-Training Sessions
Includes evaluation, feedback, and tips for handling critical issues in a live setup once you are placed in a job.
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