Brochure
Enquire- What Is Data Science?
- Evolution Of Data Science
- Data Science Terminologies
Data Science Associate
BY
DataMites
Enrol in the Data Science Associate programme and become a master data scientist in no time. The course is brought to ...Read more
Beginner
Online
3 Months
₹ 35900 45000
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
+1 more
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Mode of Delivery
Video and Text Based
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Course overview
The Data Science Associate course is developed for those looking to enter the promising fields of data science, machine learning, or artificial intelligence. It explores essential topics like predictive modelling, machine learning, and programming languages like Python and R.
The Data Science Associate course syllabus includes topics like SQL, Machine Learning, Statistics, Big Data, Deep Learning, Neural Networks, Python, R. It also explores the evolution of data science and how it is different from business analytics and big data.
Moreover, the training programme features some highly valuable case studies and real-world projects. Upon completing the Data Science Associate online training, you also receive an IABAC certification. Since this document is globally recognised, attaching it to your CV/Resume will open a ton of opportunities for you worldwide.
You also get to choose between three learning approaches – live virtual, blended learning, and classroom -, thereby allowing you to navigate the course per your preferred learning style.
The highlights
- 10 Capstone projects
- 1 client project
- Internship + Job assistance
- IABAC Global certification
- Blended learning
- Classroom learning
- Instructor-led live coaching
- Specialised syllabus
Program offerings
- Iabac global certification
- Specialised curriculum
- Blended learning
- Classroom learning
- Capstone projects
- Client projects
- Internship + job assistance.
Course and certificate fees
Fees information
₹ 35,900 ₹45,000
To get access to the Data Science Associate online training, you must pay the programme fee. You can choose from the three enrolment options provided by DataMites - blended, live virtual, and classroom. Here are the pricing details for each option.
Data Science Associate fee structure
| Mode of learning | Total Fee | Discounted Fee |
| Live Virtual | Rs. 45,000 | Rs. 35,900 |
| Blended Learning | Rs. 27,000 | Rs. 15,900 |
| Classroom | Rs. 45,000 | Rs. 31,900 |
certificate availability
Yes
certificate providing authority
IABAC
Who it is for
The Data Science Associate online training is ideal for:
- Machine learning and Data science enthusiasts
- Graduate Freshers
- Business Analysts
- Experienced Data Scientists
Eligibility criteria
To get the most out of the Data Science Associate online course, you must have basic knowledge of machine learning, statistics, and mathematics. Moreover, you must also possess a curious mind and problem-solving skills.
The certificate of completion is awarded after you have completed the course, projects, and cleared the final exam.
What you will learn
Machine learning
Knowledge of big data
Knowledge of deep learning
Knowledge of python
Sql knowledge
R programming
Upon completing the Data Science Associate syllabus, you will have a firm grasp of computer vision and its various real-life applications. Moreover, you will also gain proficiency over concepts like:
- Statistics
- Deep Learning
- Neural Networks
- Python
- R
- SQL
- Machine Learning
- Big Data
- AI
The syllabus
Introduction to Data Science
Data Science Vs. Business Analytics Vs. Big Data
Comparing Various Related Domains With Data Science
Classification Of Business Analytics
- Descriptive Analytics
- Predictive Analytics
- Discovery Analytics And Prescriptive Analytics
Data Science Project Workflow
- Crips – Dm Framework
- Data Science Project Workflow
Roles In Data Science
- Industry Roles And Responsibilities
Application Of Data Science In Various Industries
- Health Care
- Finance & Banking
- Manufacturing
- Retail
- Logistics
- Human Resource
Python Installation And Setup
- Descriptive And Inferential Statistics
- Definitions
- Terms
- Types Of Data
Harnessing Data
- Types Of Sampling Data
- Simple Random Sampling
- Stratified
- Cluster Sampling
- Sampling Error
- Types Of Sampling Data. Simple Random Sampling
- Stratified
Exploratory Analysis
- Mean
- Median And Mode
- Data Variability
- Standard Deviation
- Z-Score
- Outliers
- Mean
- Median And Mode
- Data Variability
- Standard Deviation
- Z-Score
- Outliers
Distributions
- Normal Distribution
- Central Limit Theorem
- Histogram
- Normalization
- Normality Tests
- Skewness
- Kurtosis
- Normal Distribution
- Central Limit Theorem
- Histogram
- Normalization
- Normality Tests
- Skewness
- Kurtosis
R Introduction
- R Installation And Setup
- R Studio – R Development Environment
- R Language Basics
R Data Science
- R Data Structures
- R Control Statements
- R Data Science Packages Exploration
- Project In R
Introduction To Statistics
- Descriptive And Inferential Statistics: Definitions
- Terms
- Types Of Data
Correlation & Regression
- Direct And Indirect Correlation
- Correlation With Strong And Weak Colleration
- Calculating Correlation With Python
- Regression Theory
- Simple Linear Regression With Python
Numpy Numerical Python Package
- Introduction
- Numpy Basics
- Creating Numpy Arrays
- Structure And Content Of Arrays
- Subset
- Slice
- Index And Iterate Through Arrays
- Multidimensional Arrays
- Python Lists Vs Numpy Arrays
Operations On Numpy Arrays
- Basic Operations
- Operations On Arrays
- Basic Linear Algebra Operations
Pandas Panel Data Package
- Pandas Basics
- Indexing And Selecting Data
- Merge And Append
- Grouping And Summarizing Dataframe
- Lambda Function & Pivot Tables
Data Cleaning Data Munging With Pandas
- Pandas Basics
- Indexing And Selecting Data
- Merge And Append
- Grouping And Summarizing Dataframe
- Lambda Function & Pivot Tables
Basics Of Visualization
- Components Of A Plot
- Data Visualization Toolkit
- Functionalities Of Plots
- Sub-Plots
Plotting Categorical And Time Series Data
- Introduction
- Plotting Aggregate Values Across Categories
- Plotting Distributions Across Categories
- Bivariate Distributions - Plotting Pairwise Relationships
- Vector Spaces
- Vectors: The Basics
Plotting Data Distributions
- Introduction
- Univariate Distributions
- Univariate Distributions - Rug Plots
Machine Learning Introduction
- What is Ml? Ml Vs AI
- Ml Workflow
- Statistical Modeling Of Ml
- Application Of Ml
Machine Learning Algorithms
- Popular Ml Algorithms
- Clustering
- Classification And Regression
- Supervised Vs Unsupervised
- Choice Of Ml Algorithms
Simple Linear Regression
- Regression Line
- Best Fit Line
Linear Regression In Python
- Assumptions Of Simple Linear Regression
- Reading And Understanding The Data
- Hypothesis Testing In Linear Regression
- Building A Linear Model
- Residual Analysis And Predictions
- Linear Regression Using Sklearn
Multiple Linear Regression
- Simple Linear Reg Vs Multiple Linear Reg
- Multicollinearity
- Dealing With Categorical Variables
- Model Assessment And Comparison
- Feature Selection
Logistic Regression Binary Classifier
- Introduction: Univariate Logistic Regression
- Binary Classification
- Sigmoid Curve
- Finding The Best Fit Sigmoid Curve Summary
Logistic Regression Model Building
- Multivariate Logistic Regression
- Data Cleaning And Preparation
- Building Your First Model
- Feature Elimination Using Rfe
- Confusion Matrix And Accuracy
- Manual Feature Elimination
Install Sql Packages And Connecting To DB
- Sqlalchemy
- Pymysql
Rdbms (Relational Database Management) Basics
- Basics Of Sql Db
- Primary Key
- Foreign Key
Select Sql Command, Where Condition
- Retrieving Data With Select Sql Command
- Where Condition To Pandas Data Frame.
Advanced SQL
- Order By Clause
- Aggregate Functions
- Group By Clause
- Having Clause
- Nested Queries
- Inner Join, Outer Joins, Multi Join
Data Science: Project Structure
- Crisp Dm Framework
- 6-Phase Project Execution
Business Aspects
- Ml Use Case Development
- Project Management Methodology
- Challenges And Pitfalls
Admission details
- To enrol in DataMites’ Data Science Associate online training, you first need to visit the programme page.
- Go through the programme details carefully. Once you’ve done that, you can proceed by clicking the ‘Enquire Now’ option on the top of the page.
- A small enquiry form will pop up. Enter your email address, name, company name, and phone number. After submitting the information, DataMites will get in touch with you promptly.
Evaluation process
You are automatically registered for the Data Science Associate classes certification exam when you enrol in the course. The examination fee is included in the programme fee. You can appear for the exam as and when you see fit.
How it helps
When you enrol for the Data Science Associate live training, you get not only a career-focused curriculum but also a dedicated team beside you to help you every step of the way. With this course, you get the opportunity to work on various data science projects that will help you ramp up your skills in no time. If you’re a working professional, you can apply your skills to make insightful decisions in your day-to-day tasks, thereby reducing costs and maximising profits in the process.
You can also land lucrative job roles by embellishing your CV/Resume with the course completion certificate.
FAQs
Do I require prior experience with coding to enrol in this online Data Science Associate course?
No coding experience is required to enrol in this programme.
Can I pay for the programme in instalments?
No, DataMites only accepts full upfront payment.
Do I need to pay the examination fee separately?
No, you must pay any exam fee since it is included with the course fee.
Who offers the Data Science Association online certification?
The certification is offered by IABAC: International Association of Business Analytics Certification.
Who are the lecturers who take the classes for the course?
This course is taught by subject matter experts in data science, AI, and machine learning.
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