6-8 Month of Practical Training program
Overview of the Program
7.3 LPA Highest Salary with 3.8 LPA Average CTC
500+ Hiring Partners globaly for placement
Classroom Training / Live Online Training
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Fortune 200+ Comapnies
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Comprehensive Curriculum
Languages and Tools covered
Data Sources and Data Preparation
Server Optimization
Basic types of connection
Pivot
Data interpreter
Data transformation
Design multiple tables
Dashboard with sharing
Dashboard for mobile work
Working with layout
An interactive and actionable dashboard
Advanced visualizations and calculations with Tableau
Create a parameters
Calculations and column selection
Tooltip visualization & Bullet Charts
Introduction to Tableau
Data visualization
History of visualization
Download and install the tool
Introduce the Interface and chart types
Mapping, Calculations, and Dashboard
Data organization
Filters in Tableau
Create charts, tables, and graphs
Bar charts
Stacked bar charts
Tree mapping
Scatter plot
Bubble charts
Dual axis charts
Funnel Charts
Map layering
Layout of data visualization
Integration with other Tools
Integration with Excel
Embedding the reports On the website
Understand the charts and Table for answerable questions
Understand the shape to design for the presentation
Pivot table
Share the dashboard and reports
Introduction to PowerBI
PBI Installation
Key features
Create a dashboard
Use of natural language
Manage data
Power Query
Data transformation
M language
DAX function
Scatter plot
Bubble charts
Dual axis charts
Funnel Charts
Map layering
Control use access
Manipulate Large data
Aggregate commands
Group by commands
Conditional statements
Joins
Connecting Data for Insights
Introduction to SQL
Basics of SQL
DDL, DML, and DQL statements
Learn and sort the data
Restore and backup
Selection of commands:
Filtering, Ordering
Data manipulation and analysis
Reading and writing the data in different formats Handeling missing data
Transformation and reshape
Data manipulation and analysis
Hypothesis testing
T teste, Anova
Regression Analysis: Lenear regression,
Logistic regression
Introduction to R programming
History and basic information
Installing the tool
Introduction Rstudio
Basics of R Programming
Variables, vectors, and control structure
Writing and using functions
Introduction to R packages
Machine learning with RIntroduction to machine learning
Types of algorithms
Classification and regression algorithm
Text analysis with R
Introduction to machine learning
Types of algorithms
Classification and regression algorithm
Machine learning with R
Introduction to machine learning
Types of algorithms
Classification and regression algorithm
Text analysis with R
Text Data Preprocessing in R
Text Classification in R
Sentiment Analysis in R
Word Embeddings in R
(Word2Vec, GloVe)
Supervised learning
Linear Regression in R
Logistic Regression in R
Decision Trees and Random Forests in R
Support Vector Machines (SVM) in R
k-Nearest Neighbors (KNN) in R
Unsupervised learning
Clustering with K-Means and
Hierarchical Clustering in R
Principal Component Analysis (PCA) in R
Association Rule Mining in R (Apriori)
Anomaly Detection in R
Introduction to R programming
History and basic information
Installing the tool
Introduction Rstudio
Basics of R Programming
Variables, vectors and control structure
Writing and using functions
Introduction to R packages
Data manipulation and analysis
Reading and writing the data in different formats Handeling missing data
Transformation and reshape
Statistical Analysis with RHypothesis testing: T teste, Anova
Regression Analysis: Lenear regression, Logistic regression
Controls of Git and GitHub to Excel
Introduction to Git
Cloning repositories
Big data analytics with R
Integration with Spark and Hadoop
Handling large datasets
Data Manipulation with Python
Introduction to Pandas Library
Data Structures in Pandas: Series, DataFrame
Data Cleaning and Preprocessing with Pandas
Data Transformation and Reshaping with Pandas Handling Missing Data
Exploratory Data Analysis (EDA) with Python
Data Visualization for EDA
Correlation Analysis
Outlier Detection and Treatment
Introduction to Python for Data analysis
Overview of Python and Jupyter Notebook
Python Basics: Variables, Data Types, Operators Control Flow: Loops and Conditional Statements Functions and Libraries in Python Data Import Export in Python
Natural Language Processing (NLP) with Python (Optional)
Text Data Preprocessing
Sentiment Analysis with Python
Detect fraudulent activities in transactions by analyzing patterns. Develop algorithms to identify and prevent fraudulent transactions by detecting unusual patterns
Fraud Detection
Utilize historical data and advanced algorithms to predict future stock prices and trends, aiding investors in making informed decisions.
Stock Market Analysis
Develop models to predict whether a loan application will be approved based on applicant information such as credit score, income, employment history, and other financial indicators.
Loan Approval Prediction
Leverage historical traffic data and machine learning models to forecast traffic conditions and congestion, optimizing route planning and reducing travel time.
Traffic Prediction:
Projects That You Will Work On
Upskill With Codeachive
We are offering you an integrated learning experience that will support you in achieving your career goals. Our unique career support services continue to provide guidance as you take the next step in your career. With our comprehensive and practical curriculum, we equip you with the knowledge and skills that are relevant in today’s job market.
At our education center, we understand that finding a job after graduation can be daunting. That's why we offer a comprehensive Placement service that guarantees you'll find employment after completing our program.
100% Job Assurance
At Codeachive Learning, we provide top-notch education to help students boost their profiles and career prospects. Learn the most in-demand skills and technologies from our expert instructors and take the first step toward your dream job.
Profile Boosting
With our 100% placement assurance and professional resume design assistance, you'll be on the path to success in no time. Our team is dedicated to finding the best opportunities for all our students, so you can get started on your dream career.
Resume
Preparation
Don't let finances hold you back from pursuing your education. Here at Education Hub, we offer a convenient Payment EMI option, with no extra cost to you. This means you can pay for your education in easy installments, without worrying about interest or hidden fees. Take the first step to achieving your educational goals with Education Hub.
NO Cost EMI
What you can become
Completing the Data Analytics with AI and ML course was a game-changer for my career. The comprehensive curriculum and hands-on projects equipped me with the skills needed to secure a position as a Data Analyst at a leading tech firm. The support from the instructors was invaluable. Highly recommended!
Shivani Rasal
Data Anlaytics With AI/ML
Im very happy with the outcome of taking this course. The comprehensive content and real-world case studies prepared me for my current role as an AI Analyst. The networking opportunities and career support were also a big plus. Thanks a lot team Codeachive for constant support and help.
Akanksha Mehta
Data Analytics with Python
This course provided me with a solid foundation in AI and ML, allowing me to transition from a marketing role to a Data Scientist position. The practical experience gained through real-world projects was instrumental in landing my job offer. Thank you for this amazing opportunity!
Prathmesh Mahajan
Data Analytics With AI/ML
This course was the perfect stepping stone for my career change. The knowledge I gained in AI and ML directly contributed to receiving a job offer as a Data Engineer. The instructors were knowledgeable and always willing to help. I highly recommend this course to anyone looking to break into the field.
Sanjay Kale
Data Analytics with AI/ML
I landed a role as a Business Intelligence Analyst after completing this course. The in-depth modules on data visualization and predictive analytics were particularly beneficial. I can't thank the team enough for their guidance and support throughout the program.
Soham Mudaliyar
Data Analytics With AI/ML
The Data Analytics course exceeded my expectations. The blend of theory and practical application helped me develop the expertise required to get hired as a Machine Learning Engineer. The career services support was also fantastic in preparing me for interviews.
Mihir Shukla
Data Analytics with Python
Successful Stories of Codeachive Learning
Data Analytics Program Structure
Meet Your Mentor And have an Intro Session
Our introduction process allows you to meet your mentor and get to know other students and faculty, so you can feel confident as you begin your learning journey.
Learning Is Fun
Our courses are designed to be personalized to your learning style and allow you to learn at your own pace. With our faculty's commitment to 1:1 doubt solving, we ensure that you understand the material thoroughly.
Live 1:1 Doubt Solving
We offer 80% practical and 20% theory models in our program. Our instructors are passionate about helping our students achieve their goals and are always available for one-on-one guidance.
Practical Training 80/20
At Codeachive Learning, we offer tailored and flexible programs that are designed to fit into your busy schedule. Our courses encompass a wide range of topics that cater to a diverse audience. We understand that every individual has different needs, and that’s why we offer both live classroom and online learning options.
Live Classroom/Online Learning
At our educational institution, we take placement assistance seriously. Our program guarantees a job within six months of graduation or we refund 100% of your tuition. We understand the importance of jumpstarting your career after completing your education, which is why we provide hands-on training and a career-oriented curriculum to prepare you for the workforce. Enroll now and invest in your future with us.
Placement Assistance and Training
What career support will provide you?
Profile Boosting
We determine the strengths
and weaknesses of students
and help them to build confidence and skills.
Resume Building
We help our students to
build their resumes and help them to stand confidently in the toughest interviews.
Interview Preparation
Interview preparations with industry experts and access to mock and Q&As to crack interviews with confidence.
Python Programing , Best design classes, Programing classes.
Interested in
Data Analytics and AL ML?
Submit the form to get consultation call.
Program
Fees
Choose course payment according to your choices and start learning now.
One Time Payment
45,000/-
Pay on the spot full fees and get a 5% off on your current program fees.
EMI option
6,000/-
You can start the program with 0% No cost EMI now.
-
20,000/- Registration Amount
-
NO Cost EMI
-
5 Months EMI
Frequently Asked Questions
What is the duration of the Data Science Program?
The Data Science Pro-degree is a 6-month program.
What type of learning experience should I expect?
The program is conduct with live lectures in classroom format. Also, we do provide live online training .
Do I need to use my own laptop?
during lecture.
The candidates need to use their own laptops, For practical's and assignmentt
What is the difference between Data Analytics and Data Science?
-
Data Analytics focuses more on analyzing existing data to find trends and insights.
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Data Science involves creating new algorithms and models to predict future trends and answer complex questions.
What is the eligibility criterion for Data Science Course?
The Data science program is for fresh graduates and working professionals with 0-3 years experience.
How's the placement service?
Codeachive learning have a guaranteed placement support for this program. Our Career counselor team will help to process your RESUME to different companies for interviews.
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