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Duration
08 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.
Our Data Analyst certification course covers the key analytics tools and techniques that you will need to know to analyse huge pools of data. The course focuses on major topics like how to work with SQL databases, Python, create data visualisations, and apply statistics and predictive analytics in a business setting. You will gain expertise in various data visualisation techniques using Power BI as well as how to organise data and design dashboards.
Installation and Microsoft Terms and Conditions
Basic Excel Shortcuts
Data Visualisation in Excel
Conditional Formatting, VLOOKUP, HLOOKUP, Pivot Table
Dashboard Presentation in Excel
Installation of Anaconda Navigator
Data Types in Python
Operations in Python
Control Structures in Python
Functions
OOPs in Python (Optional)
Introduction to & Operations in NumPy
Indexing NumPy Arrays
Pandas Series and DataFrames
Operations
Groupby Functions
Joining, Concatenating and merging DataFrames
Data Visualisation Using Matplotlib
Data Visualisation Using Seaborn
Web Scraping
Data Wrangling
Data Preparation
Missing Value Imputation
EDA
Various Constraints in SQL
Star Schema
Database Creation and Modification in MySQL workbench
Queries in SQL
Combining Tables
Advanced Filtering
SQL Transactions, Variables and Procedures
Types of Data
Population VS Sample
Central Tendency
Standard Deviation
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
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 clustering problems
K-Means Clustering
Other Types of Clustering
Introduction to Power BI
Tableau vs Power BI
Measure and Calculative Columns
DAX Functions
Data Visualisation and Storytelling
Business Problem Solving (Domain-Oriented Case Study)
Introduction to Tableau
Tableau Basics
Various Important Charts
Interactive Dashboard Presentation
Importance of Data Storytelling
Components of Good Story
Presenting Story in Memorable way
Introduction to Cloud and AWS setup
Basic services of AWS
Introduction
Google’s Big Data Approach: Introduction to Hadoop
Problem Statement and Project Objectives
Approach for the Solution
Optimum Solutions
Evaluation Metrics
Gathering Actionable insights
Fill out this form & let our Data Analytics career counselor call you to give the course details.
Elevate your career with our courses - gain the skills and knowledge that will set you apart and propel you towards success. Check your eligibility now and enroll today. Let's make your career dreams a reality.
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 be used to create financial dashboards that consolidate data from multiple sources like accounting software, Excel spreadsheets, and CRM systems. The tool further helps to analyze financial statements, track key performance indicators (KPIs), and generate visual reports for budgeting and forecasting.
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.
Business Intelligence Analyst, Market Research Analyst, Data Privacy Analyst, Data Visualisation Specialist, Operations 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
Machine Learning Engineer with more than significant experience in Data Science domain, proficient in predictive modeling, data processing, data analysis and data visualization as well as python also have knowledge in NLP, deep learning and computer vision. Developed various end to end machine learning and deep learning project like detecting the covid-19 cases from chest X-Ray images, tomato leaf disease detection, chronic - kidney - disease prediction, real time spam detection and many more.
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 technical knowledge is not mandatory for this course
Yes, the program includes live project practice for hands-on training.
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.
