Best Data Analytics Course in Bangalore

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Are you ready to dive into the dynamic world of data analytics? Look no further than Wikipidia Academy’s Best Data Analytics Course in Bangalore, your gateway to excellence.

Wikipidia Academy - Best Data Science Institute in India

Global Recognition

From IBM

Industry Standard

Training

Career Assistance

For Professionals

Financing as low as

₹ 4,983/month

Why Enroll In This Program?

1-on-1 Dedication

Live interactive session with expert for every individual

Assured Interview Call

Get job referrals powered by 250+ hiring partners

Premium Mentoring

​Get professionally trained from MAANG and MNC experts

Designed for Beginners

Start your career in Data Analytics with good salary

What Makes Us Different?

You have several options when choosing any course from Wikipidia as we have never failed our promises.

Take advantage of interactive, live learning in comfort of your home. Experts from MNCs and MAANG assist in online and offline project sessions at different project innovation centers around 7+ cities in India.

Get the advantage of experienced candidate to make the most out of it. Make a switch as a professional, not as a fresher by utilizing your existing knowledge through domain specialization.

Highlight your profile and get recognition from renowned industries worldwide. Work on latest capstones and achieve a project experience certificate from IBM.

Enjoy 1 year of limitless independence for accessing all the learning materials, live batches, and project sessions. Make your learning calendar as per your convenience. Professionals get to switch between weekdays and weekends.

Data Science and AI Certification Course

Data Analytics Program in Bangalore : Batch Details

New batches starts on 5th, 15th & 25th of every month.

About The Program

It’s evident that Wikipidia Academy provides a comprehensive and well-structured program for aspiring data analysts. Let’s summarize the key points:

  1. Course Overview:
    • Wikipidia Academy is a global training institute for data analytics programs.
    • The curriculum emphasizes all-around training and offers flexible learning options.
    • Live interactive classes, recorded sessions, and offline project lab sessions are available.
    • Classes are conducted in batches (weekdays and weekends) to accommodate working professionals.
    • The programs are accredited by IBM.
  2. Five-Phase Transition Process:
    • Phase 1 – Learning: Access to live interactive classes via Wikipidia Academy LMS.
      • Covers concepts from basics to advanced.
      • Special programming classes for non-technical aspirants.
    • Phase 2 – Assessments: Assignments and real-time case studies to evaluate skill sets.
    • Phase 3 – Live Projects: Work on 15+ real-time data analytics projects.
    • Phase 4 – IBM Certification: Obtain globally recognized IBM Data Analytics Certification.
    • Phase 5 – Job Assistance: Mentorship, soft skills training, resume building, and mock interviews.
      • Guaranteed interview calls from startups and MNCs.
  3. Data Analysts’ Role:
    • Data analysts solve complex business problems, aiding informed decision-making.
    • Data analytics is essential for business enhancement, revenue boost, and competitive advantage.
  4. Job Opportunities:
    • The demand for data analytics professionals is increasing significantly.
    • Over 250,000 new job openings in data analytics are projected for 2023.
  5. Bangalore’s Significance:
    • Bangalore, an IT hub, hosts major IT firms.
    • Finding top-notch data analytics training is crucial in this booming industry.
  6. Course Technologies:
    • Wikipidia Academy covers Advanced Excel, Tableau, SQL, Power BI, Python, and R programming.

Explore Our Data Analytics Course in Bangalore

Syllabus

Wikipidia provides Live, Interactive Online Sessions guided by Professionals working in top MNCs. All sessions are covered practically with real-time industrial projects and case studies.

Topic 1 :- Cohort Orientation
  • A brief introduction to tools related to data
  • Learn about particular real-time projects and Capstone projects
  • Data and its impact on career opportunities
  • Utilizing data, to enhance industrial operations and management
Topic 2 :- Fundamentals of Programming
  • Introduction to Anaconda & Jupyter notebook
  • Flavors of python Introduction to Git, GitHub
  • Python Fundamentals
Topic 3 :- Fundamentals of Statistics
  • Mean, Median, Mode
  • Standard Deviation, Average. Probability, Permutations, and Combinations
  • Introduction to Linear Algebra
Module 1 :- Python Programming
  • Programming Basics & Environment Setup
  • Python Programming Overview
  • Strings, Decisions & Loop Control
  • Python Data Types
  • Functions And Modules
  • Data Analysis Using Numpy
  • Data Analysis Using Pandas
  • Data Visualization using Matplotlib
  • Data Visualization using Seaborn
Module 1 :- Statistics
  • All about Population & Sample
  • Introduction to Statistics, Statistical Thinking
  • Descriptive Statistics
  • Inferential Statistics
  • Data Processing & Exploratory Data Analysis
  • Statistics Assignments: Total 2 practice sets on visualization
Module 2 :- Machine Learning
  • Introduction to Machine Learning
  • Regression and Classification Models
  • Linear Regression Model
  • Data Preprocessing
  • Logistic Regression Model
  • Evaluation Metrics for Classification model
  • Case Study on Kart Model Business
Module 1 :- SQL
  • SQL and RDBMS
  • Advance SQL
  • NoSQL, HBase & MongoDB
  • JSON Data & CRUD
  • Programming with SQL
Module 2 :- MongoDB
  • Introduction to MongoDB
Module 3 :- Tableau
  • Introduction to Tableau
  • Visual Analytics
  • Dashboard and Stories
  • Hands-on: Connecting data source and data cleansing
  • Working with various charts, Deployment of Predictive model in visualization
Module 4 :- PowerBI
  • Getting Started With Power BI
  • Programming with Power BI
  • Dashboard and Stories
  • Hands on: Power BI Projects
  • Table Navigation
  • Matrix Navigation
  • Pane Navigation
  • Canvas Zoom/Slicer/Selection Pane
  • DAX Formula Bar
Module 5 :- Basics of  Big Data & Spark Analytics
  • Introduction To Hadoop & Big Data
  • What is Spark
Module 6 :- Time Series
  • Introduction to Time Series Forecasting
  • Introduction to ARIMA Models
  • Case Study on Performing Time Series Analysis on Stock Prices & Time series forecasting of sales data
Module 1 :- MS Excel Fundamentals
Module 2 :- Worksheet Customization
Module 3 :- Working with Images & Shapes in Excel Worksheet
Module 4 :- Basic MS Excel
Module 5 :- Advance Excel Formula
Module 6 :- Advance Excel Functions
Module 7 :- Charts & Graphs
Module 8 :- Dashboard & Stories with Macros
Wikipidia Academy - Best Data Science Institute in India

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Why Wikipidia Academy?

Designed for Working Professionals

Industry-targeted Syllabus

Wikipidia Academy

Project Innovation Lab

Work on Industry Certified Project in offline mode in multiple cities across India. Collaborate with Project Mentors and other learners to get hands-on experience.

Live 1:1 – Resolve any doubts about projects and assignments

Extensive hands-on expertise across several domains

What People Say

I always had a dilemma about how to switch to the IT field until I stumbled upon the foundation data science course offered by Wikipidia Academy. The perfect combination of flexibility, affordability, and supportiveness. They helped me get placed at Capgemini, and I’m delighted with my current career.

Wikipidia Academy Alumni
Arjun Kumar
Working at Capgemini

Thanks to the Wikipidia Academy’s data science course and outstanding assistance, I could ace the TCS interview and secure a job with a 400% pay hike. My understanding of the course was greatly improved by the real-time projects and respective IBM project experience certification.

Wikipidia Academy Alumni
Aryan
Working at TCS

I had a great learning experience at Wikipidia Academy. The faculties here are top-notch. Right from enrollment to getting a good job, they keep putting enormous efforts into each and every candidate. Thanks to all the trainers, the backend team, the HR team and the directors for making this journey smooth.

Wikipidia Academy Alumni
Daksh Mishra
Working as Data Analyst

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