Data Analyst Course

Live-online classes

Project-based learning

Industry experts interaction

Career services

Access to placement portal

Profile building

Certificate upon completion

Mock interviews

Gain proficiency in Python programming

Use NumPy and Pandas for data manipulation and cleaning.

Create visualizations with Matplotlib, Seaborn, and Plotly.

Execute complex SQL queries and understand database concepts.

Apply machine learning algorithms using Scikit-learn.

Explore deep learning and NLP using TensorFlow, Keras, and SpaCy.

Gain data engineering skills, including ETL processes.

Showcase expertise with a capstone project for data science roles.

Syllabus

Foundations of Data Science

Python Basics (Data Types, Loops, Functions)

Operators, Expressions

Control Structures

Introduction to NumPy & Pandas

Data cleaning techniques: handling missing data, outliers, duplicates

Data wrangling and transformations

Matplotlib & Seaborn for visualizing data (histograms, scatter plots, box plots)

Introduction to interactive dashboards using Plotly

Introduction to databases

SELECT

FROM

WHERE

Operators(including LIKE)

Functions

Data Types

Primary key, Foreign key

Joins

Group by with Having, Aggregate functions

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Supervised vs. Unsupervised learning

Overview of ML algorithms (linear regression, decision trees, k-NN)

Introduction to Scikit-learn library

Linear Regression and Logistic Regression

Classification Algorithms (Decision Trees, Random Forest, k-Nearest Neighbors)

Clustering

Dimensionality Reduction (PCA)

Overview of Perceptron

Activation Functions

Mathematical Foundation

CNN

RNN

LSTM

NLTK

SPaCy

Tokenization

Word Embedding’s

Practical Implementation

Extracting, transforming, and loading data.

Building and managing data flow systems.

This capstone project combines an in-depth exploration of SQL, Statistics, and Power BI to provide a holistic approach to data analysis and business intelligence. Participants will learn to manage, analyze, and visualize data effectively using a suite of tools and technologies to derive actionable insights and solve real-world business problems.

Foundations of Data Science

Python Basics (Data Types, Loops, Functions)

Operators, Expressions

Control Structures

Introduction to NumPy & Pandas

Data cleaning techniques: handling missing data, outliers, duplicates

Data wrangling and transformations

Matplotlib & Seaborn for visualizing data (histograms, scatter plots, box plots)

Introduction to interactive dashboards using Plotly

Introduction to databases

SELECT

FROM

WHERE

Operators(including LIKE)

Functions

Data Types

Primary key, Foreign key

Joins

Group by with Having, Aggregate functions

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Supervised vs. Unsupervised learning

Overview of ML algorithms (linear regression, decision trees, k-NN)

Introduction to Scikit-learn library

Linear Regression and Logistic Regression

Classification Algorithms (Decision Trees, Random Forest, k-Nearest Neighbors)

Clustering

Dimensionality Reduction (PCA)

Overview of Perceptron

Activation Functions

Mathematical Foundation

CNN

RNN

LSTM

NLTK

SPaCy

Tokenization

Word Embedding’s

Practical Implementation

Extracting, transforming, and loading data.

Building and managing data flow systems.

COVID - 19 Prediction

Develop a predictive model that can accurately identify the likelihood of COVID-19 infection. Use classification models like SVM, Gradient Boosting, and KNN.

Customer Churn Rate Prediction

Predict churn rates using data collection, preparation, analysis, and visualizationAnalyze data, take proactive measures to retain customers, and monitor results.

Personal Finance Tracker

Create a tool to track expenses, visualize spending patterns, and set budget goals, leveraging data analysis and visualization for actionable financial insights.

Taxi Fare Prediction

Predict taxi fares based on variables like trip distance, pickup and drop-off locations, and time of day.

Career Services in a nutshell

Profile Building

Behavioral Skills

Interview Preparation

Industry Interaction

Placement Support

Job drives

Profile Building

Optimize your resume and LinkedIn profiles to maximize your chances of landing amazing opportunities.

Behavioral Skills

Get ready to become a great cultural fit at your workplace. Learn workplace skills from experts.

Interview Preparation

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Industry Interaction

Engage in multiple interactions and case study discussions with industry professionals.

Placement Support

Get exclusive access to OdinSchool’s placement portal and placement support.

Job drives

Attend exclusive job drives to connect with hiring companies and secure career opportunities.

Career Services in a nutshell

Profile Building

Optimize your resume and LinkedIn profiles to maximize your chances of landing amazing opportunities.

Behavioral Skills

Get ready to become a great cultural fit at your workplace. Learn workplace skills from experts.

Interview Preparation

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Industry Interaction

Engage in multiple interactions and case study discussions with industry professionals.

Placement Support

Get exclusive access to OdinSchool’s placement portal and placement support.

Job drives

Attend exclusive job drives to connect with hiring companies and secure career opportunities.

Data Analytics Market Growth in India

Top Companies Hiring

Demand

35%

Growth in data science jobs from 2021 to 2031 shows how fast this field is growing. This increase highlights the rising demand for skilled data professionals in many industries.

Dr. B S A S Rajita

Lead Faculty

Dr. Deepthi Cheemalakonda

Head, Carbon and Biodiversity

Sandeep Singh

Lead Faculty

Naval Yemul

Databricks Instructor

Sawinder Pal Kaur

Machine Learning Expert

Saurabh Ray

Data Scientist

Upcoming Cohort

Data Scientist

Data scientists analyze and interpret complex data to help organizations make data-driven decisions. They create predictive models, build algorithms, and use machine learning to extract valuable insights from data.

Machine Learning Engineer

Machine learning engineers design, build, and deploy machine learning models and systems. They are responsible for the technical implementation and scalability of algorithms.

AI Research Scientist

AI researchers focus on developing new algorithms, techniques, and methods to improve AI systems and solve complex problems. They often work in academia or specialized R&D labs.

Data Engineer

Data engineers build and maintain the infrastructure (databases, data pipelines, etc.) necessary for collecting, processing, and storing large datasets that data scientists and analysts work with.

Undergraduate students (any discipline, preferably in computer science, engineering, or related fields).
Basic understanding of mathematics (algebra, statistics) and programming concepts is advantageous, but not mandatory.
No prior experience in AI or machine learning required, but interest in learning is essential.
Commitment to a 3-month live online program.

Yes, upon successfully completing the Data Analyst Course, you will receive an certification from OdinSchool.

At the end of this course, you will not only be fully prepared to break into the data science industry but also equipped to become a valuable industry asset who is productive from day one.

No, there is no job guarantee.

OdinSchool is proud to offer top-notch live classes, mentorship, projects, and extensive career services. We also provide dedicated placement assistance through our network of 500+ hiring partners. We're fully committed to your success. However, it's important to understand that this Certificate Course in Data Science and Machine Learning does not offer a job guarantee and that your own effort and dedication are essential to achieving success. We encourage you to work hard and take full advantage of the job options we provide, knowing that we'll be there to support you every step of the way.

As per our refund policy, fee amounts once paid are non-refundable.

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Data Analyst Course

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22 Feb 2025

Course Highlights

Course Outcomes