Description

Explore the fascinating world of data analytics and machine learning in this comprehensive course at Locus Academy . Learn essential concepts, techniques, and tools to analyze data, derive insights, and make informed decisions.

From data wrangling and visualization to predictive modeling and machine learning algorithms, this course equips you with the skills needed to excel in the rapidly evolving field of data science. Whether you’re a beginner or looking to enhance your skills, join us on a journey to unlock the power of data and harness the potential of machine learning.

TABLE OF CONTENT

UNIT 1 : Introduction to Data Analytics

Overview of Data Analytics
Importance in Business and Decision-Making

UNIT 2 : Foundations of Statistics

Descriptive Statistics
Inferential Statistics

UNIT 3 : Data Exploration and Preparation

Data Cleaning and Preprocessing
Exploratory Data Analysis (EDA)

UNIT 4 : Data Visualization

Introduction to Data Visualization
Tools and Techniques for Visualization

UNIT 5 : Introduction to Programming for Data Analytics

Basics of Programming (e.g., Python or R)
Data Manipulation and Analysis with Programming

UNIT 6 : Introduction to Machine Learning

Basics of Machine Learning
Supervised and Unsupervised Learning

UNIT 7 : Big Data Technologies

Overview of Big Data
Introduction to Hadoop and Spark

UNIT 8 : Database Management for Data Analytics

Relational Databases
NoSQL Databases

UNIT 9 : Predictive Analytics

Building Predictive Models
Model Evaluation and Selection

UNIT 10 : Time Series Analysis

Time Series Data and Analysis
Forecasting Techniques

UNIT 11 : Ethical Considerations in Data Analytics

Privacy and Security
Responsible Data Use

UNIT 12 : Case Studies in Data Analytics

Real-world Applications of Data Analytics
Success Stories and Challenges

Please Visit DataAnalytics Official Site: || Locus Academy has more than a decade experience in delivering the training/staffing on  Introduction to Data Analytics and Machine Learning for corporates across the globe. The participants for the training/staffing on Introduction to Data Analytics and Machine Learning  are extremely satisfied and are able to implement the learnings in their on going projects.

Other useful references

Reference1

Reference2