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Duration
12 MonthsPlacement Support
100%Easy EMI
AvailableClass Mode
Online + Offline*Extra Benefits
FREE DataSpace Lab Access
Our shining stars who have recently attained placement in esteemed companies. DataSpace Academy courses are strategically designed to render a competitive edge in the job market.
This Certification course offers comprehensive training on all the key aspects of Applied Data Science, including Data Analytics, Artificial Intelligence, and Machine Learning. The course involves an interactive form of learning, covering masterclass lectures, practical laboratories, workshops, hackathons, and more. Our learners will receive hands-on training that will help them to become job-ready for different data science job roles.
Installation and Microsoft Terms and Conditions
Basic Excel Shortcuts
Data Visualisation in Excel
Conditional Formatting, VLOOKUP, HLOOKUP, Pivot Table
Dashboard Presentation in Excel
Fundamentals of Calculus
Permutation and Combination
Basics of Probability
Fourier Series/Integration
Matrix Algebra
Installation Of Anaconda Navigator
Data Types in Python
Operations in Python
Control Structures in Python
Functions
OOPs in Python (Optional)
Introduction to NumPy
Operations in NumPy
Indexing NumPy Arrays
Panda Series and DataFrames
Operations
Groupby Functions
Joining, Concatenating and merging DataFrames
Data Visualisation Using Matplotlib
Data Visualisation Using Seaborn
Plotly
Web Scraping
Data Wrangling
Data Preparation
Missing Value Imputation
EDA
Understanding ERD
Various Constraints in SQL
Star Schema
Database Creation and Modification in MySQL workbench
Queries in SQL
Combining Tables
SELECT Statement
Advanced Filtering
SQL Transactions, Variables and Procedures
Types of Data
Population VS Sample
Central Tendency
Measures of Dispersion
Correlation
Probability and Probability Distribution
Binomial Distribution
Normal Distribution
Z-Score
Standard Normal Distribution
T Distribution
Central Limit Theorem
Null and Alternative Hypothesis
Significant Level
T-Statistics
P-value
Type I and Type II Error
A/B Testing With Practical Examples
Supervised and Unsupervised learning
Introduction to scikit-learn
Understanding Classification problems, regression problem, dependent and independent variables
Train, Test and Optimize regression and Classification Models
Linear Regression
Logistic Regression
Decision Tree
Introduction to NLP and Lexical Processing
Introduction to clustering problems
K-Means Clustering
Other Types of Clustering
Introduction to Time series Forecasting
Different Forecasting Models
Introduction to Version Control System
Git Essentials
Git Commands and Functionalities
Create Your First Project
Bagging for Imbalanced Classification
Random Forest for Imbalanced Classification
Easy Ensemble for Imbalanced Classification
Adaboost
XG Boost
Gradient Boosting
Principles of Model Selection
Feature Engineering
Model Evaluation
Class Imbalance
Introduction to PCA
Vector Representation and Operation
Matrix Operation (Recap)
Dimensionality Reduction
Model Performance
Estimating Coefficients in SLR and MLR
Matrix representation of SLR and MLR
Assumption of Linear Regression
Identify Non-linear data
Polynomial Regression
Regularisation (Ridge and Lasso)
Introduction to Computer Vision
Image Detection/Handwriting Classifier: OpenCV Demo
Introduction to Neural Network
Convolutional Neural Network
How to Build CNN in Python Keras
Image Augmentation: Cats vs Dogs Classifier
Principles of Object Detection
TensorFlow Object Detection APIs
Dark Flow and YOLO: Object Detection
Style Transfer: Make AI Generated Art
Problem Statement and Project Objectives
Approach for the Solution
Optimum Solutions
Evaluation Metrics
Gathering Actionable insights
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Power BI can help HR departments gain insights into employee data, such as turnover rates, recruitment analytics, training effectiveness, and performance evaluations. The tool also helps to create visualizations to identify patterns, measure employee engagement, and optimize HR processes.
A Netflix Dashboard Analysis in Power BI involves creating a visual representation of data related to Netflix's subscribers, viewership, content performance, user engagement, recommendations, geographical analysis, content release schedule, and user retention.
By conducting EDA on the IPL dataset, we can gain a deeper understanding of the tournament's dynamics, team performances, player statistics, and various factors that contribute to match outcomes. It can also help in identifying strategies and areas for improvement for teams and players.
Power BI can help HR departments gain insights into employee data, such as turnover rates, recruitment analytics, training effectiveness, and performance evaluations. The tool also helps to create visualizations to identify patterns, measure employee engagement, and optimize HR processes.
A thorough analysis of shopping mall data offers in-depth insights into customer behavior, tenant performance, operational efficiency, and overall success factors. These insights can help to reach informed data-driven decisions that would further help to improve the mall's offerings, and optimize the shopping experience for customers.
Machine Learning Engineer, Data Architect, Business Intelligence Analyst
DataSpace Academy courses are available at extremely competitive prices. Our Course Benefits are structured keeping in mind the convenience and budget of students and beginners
Training & Mentorship
Flexible Schedule
Online Live Interactive Session
Recorded Session After the class
Industry Recognised Certificate
Add-ons
Learn to crack job interviews with success and make a positive impression at workplace with our Add-on Packages
4 Days 8 Hours
Behavioural Skills
First impression know-how
Introduction to Corporate Communication
3 months
Interview Preparation
Industry-specific group discussions
Grooming
1-on-1 session available (*T&C applies)
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IT expert Avijit Pyne has more than 3.5 years of experience in the field of data science and analytics. His main research interests are in natural language processing, deep learning, and traditional machine learning. He has worked as a data science consultant for both start-ups and private MNCs. Through different articles and code snippets, he contributes to the open-source community.
209 Students Taught
Mr. Dipangsu Mukherjee is a dynamic Data Scientist, ML expert, Statistical Programmer, and Data Analyst with years of experience in the data analytics and statistical domains. A seasoned Python programmer, Dipangsu holds keen interest in futuristic technologies like Artificial Intelligence, especially Generative AI. The leading statistician has been a major part of several crucial data analytics live projects, including One Day Cricket Score Prediction with the help of Machine Learning. Spam mail detection or ham detection analytics, OTT platform analytics with Machine Learning, and more.
3451 Students Taught
Bipul is a dynamic data science and data analytics professional with around 3 years of experience in the industry. The rising data scientist serves as a machine learning engineer and trainer as well as a lead data science analyst and instructor. His areas of special interest are deep learning, data visualisation, Statistical Data Analysis, Artificial Intelligence, and such other related cutting-edge technologies.
2986 Students Taught
Industry Experts
Learn from Industry Experts with Years of Expertise in the related field.
Real Time Projects
Practice on Real Time Projects which can be showcased to future recruiters
Placement Support
Placement Support for successful completion of courses and certification
Lab based Classes
100% practical and lab-based classes (available online & offline)
Job-Ready Course Curriculum
Specially tailored Certification Course equipped with in-demand industry skills
24x7 Support
The course comes with round-the-clock support for doubt-clearing session
I recently completed the Certification in Data Science course by Dataspace Academy and it was an amazing experience. The course material was well-structured and the instructors were knowledgeable and patient. I gained a lot of practical knowledge and was able to apply what I learned to real-world scenarios. I highly recommend this course to anyone interested in data science.
The Certification in Data Science exceeded my expectations. The course covered all the essential topics and provided practical exercises that helped me improve my skills. The instructors were knowledgeable and supportive and helped me understand even the most complex topics. I highly recommend this course to anyone interested in data scienc
The Certification in Data Science course was a great learning experience for me. The course material was well-structured and provided a good balance of theory and practice. The instructors were highly skilled and provided valuable feedback on my work. I was able to apply what I learned to my work and I am confident that this course has prepared me well for my future data science
The Certification in Data Science course offered by Dataspace Academy was a great investment in my career. The instructors were highly skilled and provided hands-on training that prepared me well for data science roles. The course also provided me with valuable networking opportunities that helped me find my current job. I highly recommend this course to anyone looking to break into data science.
The Certification in Data Science exceeded my expectations. The course covered all the essential topics and provided practical exercises that helped me improve my skills. The instructors were knowledgeable and supportive and helped me understand even the most complex topics. I highly recommend this course to anyone interested in data science.
Have a 5-minute call with our experts to get your questions answered.
The course is available for people from both technical and non-technical backgrounds. This course would be perfect if you are currently in a non-technical domain but aspire to learn job-ready data analytics skills.
Prior knowledge of stats and maths would be helpful for learners aspiring to join the course. However, aspiring learners from non-tech background too would be able to join the course.
Yes, our learners work on industry-oriented capstone projects.
For details on seasonal discounts and special offers, please consult with our academic counselling team.
DataSpace Academy provides Internship opportunities and placement assistance based on the merit of the student on successful completion of the course.
After the completion of this course, learners will be able to apply for different job roles in the field of data analytics, such as Data Analyst, Business Analyst, Financial Analyst, Business Intelligence Analyst, Market Research Analyst, Data Privacy Analyst, Operations Analyst, Data Visualisation Specialist, and more.
